Triple

T2343841
Position Surface form Disambiguated ID Type / Status
Subject Val-d'Oise E45085 entity
Predicate containsCity P294 FINISHED
Object Gonesse E168772 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: Gonesse | Statement: [Val-d'Oise, containsCity, Gonesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonesse
Context triple: [Val-d'Oise, containsCity, Gonesse]
  • A. Gonesse chosen
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • B. Nogent-sur-Seine
    Nogent-sur-Seine is a commune in north-central France known for its riverside setting on the Seine and its proximity to the Nogent-sur-Seine Nuclear Power Plant.
  • 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. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • E. Bougival
    Bougival is a picturesque commune along the Seine River in the western suburbs of Paris, long associated with Impressionist painters and riverside leisure.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6afe38c81909deb1de2a1c4eda9 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b650629ef88190a3e360fb9c85dcc7 completed March 15, 2026, 6:23 a.m.
Created at: March 4, 2026, 7:52 p.m.