Triple

T2767285
Position Surface form Disambiguated ID Type / Status
Subject 16th arrondissement of Paris E61366 entity
Predicate contains P35 FINISHED
Object Passy E89169 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: Passy | Statement: [16th arrondissement of Paris, contains, Passy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passy
Context triple: [16th arrondissement of Paris, contains, Passy]
  • A. Passy chosen
    Passy is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro and the Seine.
  • B. Mulhouse
    Mulhouse is an industrial city in northeastern France near the Swiss and German borders, known for its textile heritage and major technical museums.
  • C. Kaysersberg
    Kaysersberg is a picturesque medieval town in France’s Alsace region, renowned for its half-timbered houses, hillside vineyards, and well-preserved historic charm.
  • D. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • E. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd667c4881909aa582c630c8e3ab completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6496dc88190b316d5b36bc5df67 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.