Triple

T16535502
Position Surface form Disambiguated ID Type / Status
Subject Bagneux E401678 entity
Predicate borderedBy P224 FINISHED
Object Châtillon E292983 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: Châtillon | Statement: [Bagneux, borderedBy, Châtillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Châtillon
Context triple: [Bagneux, borderedBy, Châtillon]
  • A. Châtillon chosen
    Châtillon is a suburban commune in the southwestern outskirts of Paris, France, known for its residential character and integration into the Greater Paris metropolitan area.
  • B. Châtillon
    Châtillon is a commune in eastern France known for its local heritage and its twinning partnership with the Swiss town of Delémont.
  • C. Châtillon-sur-Seine
    Châtillon-sur-Seine is a historic commune in eastern France’s Côte-d’Or department, known for its rich archaeological heritage and picturesque setting along the Seine River.
  • D. Châtillon-Saint-Jean
    Châtillon-Saint-Jean is a small commune in southeastern France’s Drôme department, known for its rural character within the broader Romans-sur-Isère area.
  • E. Châtillon-sur-Chalaronne
    Châtillon-sur-Chalaronne is a small historic commune in the Ain department of eastern France, known for its medieval architecture and traditional covered market.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e345574d88819094548367bf983078 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb00b14c819093925c109913322c completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:15 a.m.