Triple

T10312602
Position Surface form Disambiguated ID Type / Status
Subject Seine-et-Oise E241931 entity
Predicate contained P1393 FINISHED
Object Rambouillet E132848 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: Rambouillet | Statement: [Seine-et-Oise, contained, Rambouillet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rambouillet
Context triple: [Seine-et-Oise, contained, Rambouillet]
  • A. Rambouillet, France chosen
    Rambouillet, France is a historic town southwest of Paris known for its royal château, former role as a French royal and presidential residence, and surrounding forest.
  • B. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • C. Savoye
    Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
  • D. Compiegne
    Compiègne is a historic city in northern France known for its royal château, forest, and role in significant events such as the signing of the 1918 Armistice.
  • E. Rousset
    Rousset is a French town in the Provence-Alpes-Côte d’Azur region known for hosting significant semiconductor and microelectronics facilities, including a major STMicroelectronics design center.
  • 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_69d794e8e57c8190933bad4a3cead75f completed April 9, 2026, noon
Created at: April 6, 2026, 11:48 a.m.