Triple

T12592287
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Saint-Germain-en-Laye E300634 entity
Predicate contains P35 FINISHED
Object Rocquencourt E188199 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: Rocquencourt | Statement: [arrondissement of Saint-Germain-en-Laye, contains, Rocquencourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocquencourt
Context triple: [arrondissement of Saint-Germain-en-Laye, contains, Rocquencourt]
  • A. Rocquencourt chosen
    Rocquencourt is a commune in north-central France that historically hosted key NATO military command facilities.
  • B. Villiers-le-Sec
    Villiers-le-Sec is a small French commune located in the Calvados department of the Normandy region in northwestern France.
  • C. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • D. Bougival
    Bougival is a picturesque commune along the Seine River in the western suburbs of Paris, long associated with Impressionist painters and riverside leisure.
  • E. Nogent-sur-Seine
    Nogent-sur-Seine is a commune in north-central France known for its riverside setting on the Seine and its proximity to the Nogent-sur-Seine Nuclear Power Plant.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cc6d3c81908fbb22601c46f3f7 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671926a7c8190a41725cfde7836b1 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:07 p.m.