Triple

T14601233
Position Surface form Disambiguated ID Type / Status
Subject Pierre Philippe Denfert-Rochereau E342708 entity
Predicate placeOfActivity P1527 FINISHED
Object Belfort E221880 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: Belfort | Statement: [Pierre Philippe Denfert-Rochereau, placeOfActivity, Belfort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belfort
Context triple: [Pierre Philippe Denfert-Rochereau, placeOfActivity, Belfort]
  • A. Belfort
    Belfort is the surname of Jordan Belfort, the American former stockbroker, motivational speaker, and author whose high-profile fraud case inspired the film "The Wolf of Wall Street."
  • B. Montélimar
    Montélimar is a town in southeastern France, known as the "gateway to Provence" and famous for its traditional nougat confectionery.
  • C. Dijon
    Dijon is a historic city in eastern France renowned for its rich architectural heritage, former status as the capital of the Duchy of Burgundy, and its famous mustard.
  • D. City of Belfort chosen
    The City of Belfort is a historic commune in northeastern France, known for its strategic fortress, rich military heritage, and the monumental Lion of Belfort sculpture by Frédéric Bartholdi.
  • E. Épinal
    Épinal is a historic town in northeastern France, known for its traditional image-printing industry and picturesque setting in the Vosges region.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff13322c548190bac21db2bfa56ee9 completed May 9, 2026, 10:57 a.m.
Created at: April 10, 2026, 1:25 a.m.