Triple

T19703571
Position Surface form Disambiguated ID Type / Status
Subject Semantic MediaWiki E473153 entity
Predicate relatedTo P37 FINISHED
Object Wikidata NE NERFINISHED

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: [Semantic MediaWiki, relatedTo, Wikidata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikidata
Context triple: [Semantic MediaWiki, relatedTo, 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. Wikidata development team
    The Wikidata development team is the group of software engineers and product specialists responsible for building and maintaining the Wikidata project under Wikimedia Deutschland.
  • E. Korean Wikidata
    Korean Wikidata is the Korean-language edition of Wikidata, a collaboratively edited knowledge base that stores structured data to support Wikimedia projects and beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b8707081908fbf96c989d2d52d completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.