Triple

T18134024
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Muret E434089 entity
Predicate contains P35 FINISHED
Object Fonsorbes NE NERFINISHED

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: Fonsorbes | Statement: [Arrondissement of Muret, contains, Fonsorbes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fonsorbes
Context triple: [Arrondissement of Muret, contains, Fonsorbes]
  • A. Fonsorbes chosen
    Fonsorbes is a commune in southwestern France, located in the Haute-Garonne department within the Occitanie region.
  • B. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • C. Fonsomme
    Fonsomme is a commune in northern France notable as the place where the Somme River originates.
  • D. Monpezat
    Monpezat is a French noble family name associated with Prince Henrik of Denmark and his descendants.
  • E. Farges
    Farges is a small commune in eastern France, located in the Ain department near the Swiss border in the Auvergne-Rhône-Alpes region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de055c608190a090c2737904e5f9 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.