Triple

T11210268
Position Surface form Disambiguated ID Type / Status
Subject INRIA E265286 entity
Predicate headquartersLocation P62 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: [INRIA, headquartersLocation, Rocquencourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocquencourt
Context triple: [INRIA, headquartersLocation, 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d6f5d4819086dcb776a0d469e8 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5256cb7c8819084d8010c2f3e9d94 completed April 19, 2026, 6:56 p.m.
Created at: April 8, 2026, 9:30 p.m.