Triple

T10567530
Position Surface form Disambiguated ID Type / Status
Subject Saint Louis E249388 entity
Predicate placeOfBirth P1 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: [Saint Louis, placeOfBirth, Poissy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poissy
Context triple: [Saint Louis, placeOfBirth, 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ef5848190b76d671ea2d26314 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6684574908190bd7e3d1a7dd6d876 completed May 2, 2026, 9:10 p.m.
Created at: April 6, 2026, 12:36 p.m.