Triple

T6843429
Position Surface form Disambiguated ID Type / Status
Subject Charles de Gaulle Airport E157831 entity
Predicate locatedNear P294 FINISHED
Object Villepinte E157831 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: Villepinte | Statement: [Charles de Gaulle Airport, locatedNear, Villepinte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villepinte
Context triple: [Charles de Gaulle Airport, locatedNear, Villepinte]
  • A. Villepinte chosen
    Villepinte is a northeastern suburb of Paris in the Île-de-France region, known for hosting the large Paris Nord Villepinte exhibition center and its proximity to Charles de Gaulle Airport.
  • B. Bougival
    Bougival is a picturesque commune along the Seine River in the western suburbs of Paris, long associated with Impressionist painters and riverside leisure.
  • C. Suresnes
    Suresnes is a suburban commune in the western outskirts of Paris, France, known for its residential character and views over the Seine and the capital.
  • D. Fontenay-en-Parisis
    Fontenay-en-Parisis is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • E. Asnières-sur-Seine
    Asnières-sur-Seine is a suburban commune in the northwestern outskirts of Paris, France, known for its residential neighborhoods and location along the Seine River.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b7179481909e3482fef47b2719 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1a54dd08190bdaaf6772758c22f completed April 3, 2026, 1:33 p.m.
Created at: March 27, 2026, 2:19 p.m.