Triple

T2343852
Position Surface form Disambiguated ID Type / Status
Subject Val-d'Oise E45085 entity
Predicate containsCity P294 FINISHED
Object Eaubonne E280606 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: Eaubonne | Statement: [Val-d'Oise, containsCity, Eaubonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eaubonne
Context triple: [Val-d'Oise, containsCity, Eaubonne]
  • A. Eaubonne chosen
    Eaubonne is a suburban commune in the northern outskirts of Paris, France, known for its residential character and proximity to other Val-d'Oise towns.
  • B. Bonneuil-en-France
    Bonneuil-en-France is a small commune in the Val-d'Oise department in northern France, situated in the northeastern suburbs of Paris near major transport and aviation hubs.
  • C. Louveciennes
    Louveciennes is a picturesque commune in north-central France, noted for its scenic landscapes that attracted Impressionist painters such as Camille Pissarro.
  • D. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • E. Montereau-Fault-Yonne
    Montereau-Fault-Yonne is a commune in north-central France where the Yonne River meets the Seine, historically noted as a strategic river junction and site of significant battles.
  • 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_69b65ef41040819092943009497c2000 completed March 15, 2026, 7:25 a.m.
Created at: March 4, 2026, 7:52 p.m.