Triple

T9915019
Position Surface form Disambiguated ID Type / Status
Subject CA Plaine Vallée E185846 entity
Predicate hasMemberMunicipality P47323 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: [CA Plaine Vallée, hasMemberMunicipality, Eaubonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eaubonne
Context triple: [CA Plaine Vallée, hasMemberMunicipality, 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. Étrépilly
    Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • D. Louveciennes
    Louveciennes is a picturesque commune in north-central France, noted for its scenic landscapes that attracted Impressionist painters such as Camille Pissarro.
  • E. 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.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53d5be48190ab47e152760d5e2c completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e343941ae481909489cf7a4abdba68 completed April 18, 2026, 8:40 a.m.
Created at: March 30, 2026, 8:41 p.m.