Triple

T13693537
Position Surface form Disambiguated ID Type / Status
Subject Les Heures Claires E328327 entity
Predicate locatedIn P40 FINISHED
Object Poissy E105200 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: Poissy | Statement: [Les Heures Claires, locatedIn, Poissy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poissy
Context triple: [Les Heures Claires, locatedIn, Poissy]
  • A. Poissy chosen
    Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
  • B. Soissons
    Soissons is a historic town in northern France known for its strategic military importance and notable battles throughout European history.
  • C. Guyancourt
    Guyancourt is a suburban commune in the Yvelines department of the Île-de-France region, southwest of Paris, known for its residential areas, business parks, and proximity to major research and educational institutions.
  • 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. Meaux
    Meaux is a historic commune in the Île-de-France region of north-central France, known for its cathedral, World War I heritage, and production of Brie de Meaux cheese.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006065741c8190ad4ceb6bd3d60f9f completed May 10, 2026, 10:39 a.m.
Created at: April 9, 2026, 9:54 p.m.