Triple

T1735644
Position Surface form Disambiguated ID Type / Status
Subject Community Resources department E37912 entity
Predicate supportsProject P12986 FINISHED
Object Wikidata E37902 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wikidata | Statement: [Community Resources department, supportsProject, Wikidata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikidata
Context triple: [Community Resources department, supportsProject, Wikidata]
  • A. Wikidata chosen
    Wikidata is a collaboratively edited, multilingual knowledge base that provides structured data to support Wikipedia and other Wikimedia projects.
  • B. Wikidata Query Service
    Wikidata Query Service is an online SPARQL endpoint and interface that allows users to query and explore structured data stored in Wikidata.
  • C. Wikibase
    Wikibase is a free, open-source software suite developed by Wikimedia for storing, managing, and querying structured, linked data.
  • D. Wikispecies
    Wikispecies is a Wikimedia Foundation project that serves as a free, collaborative directory of species and taxonomic information.
  • E. Library of Congress Linked Data Service
    The Library of Congress Linked Data Service is an online platform that publishes the Library of Congress’s controlled vocabularies and authority data in machine-readable linked data formats for use in cataloging and semantic web applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a369048190bae352573f5082f1 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3b9a2f4819082ca2e9f838f7b9e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:30 p.m.