Triple

T3981727
Position Surface form Disambiguated ID Type / Status
Subject Belgian French E85772 entity
Predicate differsFrom P278 FINISHED
Object Metropolitan French E27215 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: Metropolitan French | Statement: [Belgian French, differsFrom, Metropolitan French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolitan French
Context triple: [Belgian French, differsFrom, Metropolitan French]
  • A. Parisian
    Parisian was a regional department store chain in the United States, known for selling mid- to upscale apparel and home goods before being phased out in the 2000s.
  • B. Middle French
    Middle French is the historical stage of the French language used roughly between the 14th and 17th centuries, marking the transition from Old French to Modern French.
  • C. French American
    French Americans are U.S. residents or citizens of French ancestry, including both descendants of early French settlers and more recent immigrants from France.
  • D. Metropolitan France chosen
    Metropolitan France is the part of France located in Europe, encompassing the mainland and nearby coastal islands, and forming the country’s primary political, economic, and demographic center.
  • E. Old French
    Old French was the medieval Romance language spoken in northern France and surrounding regions, which served as the linguistic ancestor of modern French and significantly influenced English after the Norman Conquest.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9db804c8190ad96656cb7b1a4fe completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540257c188190899b00bf1d0247d2 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.