Triple

T14314209
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Antony E354910 entity
Predicate contains P35 FINISHED
Object Vaucresson E398523 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: Vaucresson | Statement: [arrondissement of Antony, contains, Vaucresson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaucresson
Context triple: [arrondissement of Antony, contains, Vaucresson]
  • A. Vaucresson chosen
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • B. Crosne
    Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of Paris.
  • C. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • D. Choisy-le-Roi
    Choisy-le-Roi is a suburban commune in the southeastern outskirts of Paris, France, situated along the River Seine in the Val-de-Marne department.
  • E. Le Vésinet
    Le Vésinet is a suburban town in the western outskirts of Paris, France, known for its landscaped parks, lakes, and villa-style residential character.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b49e5481909b9ffab2d922e284 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf1fb1208190ab1f9a616d4134a2 completed May 19, 2026, 10:07 p.m.
Created at: April 10, 2026, 1:12 a.m.