Triple

T16445929
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Castelsarrasin E399424 entity
Predicate contains P35 FINISHED
Object Lafrançaise E398447 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: Lafrançaise | Statement: [arrondissement of Castelsarrasin, contains, Lafrançaise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lafrançaise
Context triple: [arrondissement of Castelsarrasin, contains, Lafrançaise]
  • A. Lafrançaise, France chosen
    Lafrançaise is a small commune in the Tarn-et-Garonne department of southern France, known for its rural charm and traditional French village atmosphere.
  • B. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • C. Le François
    Le François is a coastal commune on the eastern side of Martinique in the French Caribbean, known for its sheltered bays, islets, and traditional fishing and agricultural activities.
  • D. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • E. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdcedf8819080aa82a8712c0b42 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4b738881908f8a205466397f33 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.