Triple

T10312607
Position Surface form Disambiguated ID Type / Status
Subject Seine-et-Oise E241931 entity
Predicate contained P1393 FINISHED
Object Argenteuil E211760 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: Argenteuil | Statement: [Seine-et-Oise, contained, Argenteuil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argenteuil
Context triple: [Seine-et-Oise, contained, Argenteuil]
  • A. Argenteuil chosen
    Argenteuil is a suburban commune in the northwestern outskirts of Paris, France, known historically as an industrial center and as a subject of Impressionist painters.
  • B. Vallières
    Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
  • C. Sillery
    Sillery is a renowned Grand Cru wine-producing village in France’s Champagne region, noted especially for its high-quality Pinot Noir and Chardonnay grapes.
  • D. Yerres
    Yerres is a suburban commune in the Île-de-France region of northern France, known for its picturesque riverside landscapes that inspired Impressionist painters.
  • E. Le Bourget-du-Lac
    Le Bourget-du-Lac is a French lakeside commune in the Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting, historical abbey, and proximity to the Alps.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32b85288190a11e09a0ab80d66c completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d801978819097293b5c98350fef completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:48 a.m.