Triple

T8301094
Position Surface form Disambiguated ID Type / Status
Subject French Wikinews E194349 entity
Predicate hasSisterProject P14971 FINISHED
Object French Wikiversity E693127 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: French Wikiversity | Statement: [French Wikinews, hasSisterProject, French Wikiversity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Wikiversity
Context triple: [French Wikinews, hasSisterProject, French Wikiversity]
  • A. French Wikiversity chosen
    French Wikiversity is the French-language edition of Wikiversity, a Wikimedia project dedicated to free educational resources and collaborative learning.
  • B. French Wikibooks
    French Wikibooks is the French-language edition of Wikibooks, a Wikimedia project that hosts collaboratively written open-content textbooks and instructional materials.
  • C. French Wikisource
    French Wikisource is the French-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
  • D. French Wiktionary
    French Wiktionary is the French-language edition of the collaborative, multilingual online dictionary project hosted by the Wikimedia Foundation.
  • E. French Wikipedia
    French Wikipedia is the French-language edition of the online collaborative encyclopedia Wikipedia, written and maintained by a community of French-speaking volunteers.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e891030819097f4a26992a8b469 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd953b5fd881909696eb2647dc5f92 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:53 p.m.