Triple

T14314208
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Antony E354910 entity
Predicate contains P35 FINISHED
Object Vanves E396795 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: Vanves | Statement: [arrondissement of Antony, contains, Vanves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanves
Context triple: [arrondissement of Antony, contains, Vanves]
  • A. Vanves chosen
    Vanves is a suburban commune in the southwestern outskirts of Paris, France, known for its dense residential character and proximity to the capital.
  • B. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • C. Sevran
    Sevran is a northeastern suburb of Paris in the Seine-Saint-Denis department of France, known for its urban residential areas and proximity to major transport routes and waterways.
  • D. Villeparisis
    Villeparisis is a suburban commune in the Île-de-France region of north-central France, located northeast of Paris in the Seine-et-Marne department.
  • E. Corbeil-Essonnes
    Corbeil-Essonnes is a suburban commune in the southern outskirts of Paris, France, known as a local transport hub and residential area within the Île-de-France region.
  • 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_6a0c8225ce388190acc6599a1ebcb248 completed May 19, 2026, 3:30 p.m.
Created at: April 10, 2026, 1:12 a.m.