Triple

T17261327
Position Surface form Disambiguated ID Type / Status
Subject Quebec French E419015 entity
Predicate standardBasedOn P1587 FINISHED
Object Metropolitan French E406940 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: [Quebec French, standardBasedOn, Metropolitan French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolitan French
Context triple: [Quebec French, standardBasedOn, Metropolitan French]
  • A. Metropolitan French chosen
    Metropolitan French is the standard variety of the French language as used in mainland France, serving as the primary reference for French grammar, vocabulary, and spelling.
  • B. 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.
  • C. Colonial French
    Colonial French is a historical variety of the French language used during France’s colonial era, particularly influential in shaping several French-based creole languages.
  • D. Louis (French)
    Louis is the French given name corresponding to the name Ludwik in other languages.
  • E. Touraine French dialect
    The Touraine French dialect is a regional variety of French traditionally spoken in the Touraine area of central France, historically regarded as close to the standard Parisian norm.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e70b00c8190b0380be08afae18d completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171041f2c81909bf52025d68912fc completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.