ON
ENT-00002046 · Dataset

OntoNotes

OntoNotes is a dataset associated with LDC, classified in LXKeys.world as AI Dataset.

Level V PersistentActiveDocumented
Human record

Overview

OntoNotes is a data or evaluation resource used in artificial intelligence research. It is associated with LDC and is documented as multilingual annotated corpus.

Timeline

  1. 2013Initial dataset release

    OntoNotes entered the documented public record in 2013. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Evaluation resource for AI systemsDataset or benchmark documentationMachine-learning task referenceSource-linked registry metadataRelationship graph compatibility

Known limitations

Coverage and licensing should be interpreted through the linked source record.Benchmark scores or dataset contents can evolve over time through external updates.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for OntoNotes. Entity type: Dataset; classification: AI Dataset; creator/organization context: Linguistic Data Consortium. Canonical source anchor: https://catalog.ldc.upenn.edu/LDC2013T19. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

DatasetBenchmarkEvaluationData Resource
Relationship graph

OntoNotes

Open in full graph
OntoNotes
CreatorOutgoing
Linguistic Data Consortium

Linguistic Data Consortium is documented as creator, contributor or originating team for OntoNotes.

Associated organizationOutgoing
LDC

LDC is the organization or institutional context associated with OntoNotes.

ClassificationOutgoing
Evaluation / Data Resource

OntoNotes is classified as Evaluation / Data Resource.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

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    "@context": [
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        {
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        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002046",
    "name": "OntoNotes",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "OntoNotes is a dataset associated with LDC, classified in LXKeys.world as AI Dataset.",
    "creator": "Linguistic Data Consortium",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002046&lang=en",
    "sameAs": "https://catalog.ldc.upenn.edu/LDC2013T19",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002046",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "AI Dataset",
        "organization": "LDC",
        "originContext": "AI evaluation and data infrastructure",
        "firstPublicAppearance": "2013",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "Evaluation resource for AI systems",
            "Dataset or benchmark documentation",
            "Machine-learning task reference",
            "Source-linked registry metadata",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Coverage and licensing should be interpreted through the linked source record.",
            "Benchmark scores or dataset contents can evolve over time through external updates."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Evaluation",
            "Data Resource"
        ],
        "timeline": [
            {
                "date": "2013",
                "title": "Initial dataset release",
                "description": "OntoNotes entered the documented public record in 2013. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://catalog.ldc.upenn.edu/LDC2013T19",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Linguistic Data Consortium",
                "type": "Creator",
                "description": "Linguistic Data Consortium is documented as creator, contributor or originating team for OntoNotes.",
                "evidence_level": "documentary"
            },
            {
                "target": "LDC",
                "type": "Associated organization",
                "description": "LDC is the organization or institutional context associated with OntoNotes.",
                "evidence_level": "documentary"
            },
            {
                "target": "Evaluation / Data Resource",
                "type": "Classification",
                "description": "OntoNotes is classified as Evaluation / Data Resource.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://catalog.ldc.upenn.edu/LDC2013T19",
                "source_type": "Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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