Triple

T8301093
Position Surface form Disambiguated ID Type / Status
Subject French Wikinews E194349 entity
Predicate hasSisterProject P14971 FINISHED
Object French Wikivoyage E693126 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 Wikivoyage | Statement: [French Wikinews, hasSisterProject, French Wikivoyage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Wikivoyage
Context triple: [French Wikinews, hasSisterProject, French Wikivoyage]
  • A. French Wikivoyage chosen
    French Wikivoyage is the French-language edition of the collaborative, free travel guide project that provides practical information and tips for travelers.
  • B. French Wikiversity
    French Wikiversity is the French-language edition of Wikiversity, a Wikimedia project dedicated to free educational resources and collaborative learning.
  • C. 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.
  • D. France Info
    France Info is a French public rolling news television channel providing continuous national and international news coverage.
  • E. Impressions de France
    Impressions de France is a long-running panoramic film attraction at EPCOT that showcases French landscapes, culture, and classical music.
  • 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.