Triple

T3394064
Position Surface form Disambiguated ID Type / Status
Subject Clamart E71485 entity
Predicate hasNeighbour P5707 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: [Clamart, hasNeighbour, Vanves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanves
Context triple: [Clamart, hasNeighbour, 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. 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.
  • D. 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.
  • E. Puteaux
    Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb853746c8190bfa1447e6ebbefb3 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1351018b48190910c3dad6c0f9850 completed March 23, 2026, 12:41 p.m.
Created at: March 8, 2026, 3:14 p.m.