Triple

T21624198
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Nice E533654 entity
Predicate contains P35 FINISHED
Object Guillaumes 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: Guillaumes | Statement: [Arrondissement of Nice, contains, Guillaumes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillaumes
Context triple: [Arrondissement of Nice, contains, Guillaumes]
  • A. Guillaumes chosen
    Guillaumes is a small commune in southeastern France, situated in the mountainous hinterland of the Provence-Alpes-Côte d'Azur region.
  • B. Berenguer
    Berenguer is a Catalan noble family name most notably borne by medieval rulers of Barcelona such as Ramon Berenguer IV.
  • C. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • D. Berenguier
    Berenguier is a medieval Occitan given name, often associated with troubadours and poets from the south of France.
  • E. Arcangues
    Arcangues is a picturesque commune in southwestern France’s Basque Country, known for its traditional Basque architecture, rolling countryside, and historic château.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef521125f481909ccfc95d884976e2 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.