Triple

T14170389
Position Surface form Disambiguated ID Type / Status
Subject Villiers-le-Bel E351189 entity
Predicate locatedNear P294 FINISHED
Object Arnouville 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: Arnouville | Statement: [Villiers-le-Bel, locatedNear, Arnouville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnouville
Context triple: [Villiers-le-Bel, locatedNear, Arnouville]
  • A. Arnouville chosen
    Arnouville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • B. Blainville-Crevon
    Blainville-Crevon is a small commune in northern France best known as the birthplace of influential avant-garde artist Marcel Duchamp.
  • C. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • D. Jouarre
    Jouarre is a commune in north-central France known for its historic Benedictine abbey and early medieval religious heritage.
  • E. 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.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
Created at: April 10, 2026, 1:01 a.m.