Triple

T9225285
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Versailles E221665 entity
Predicate territoryIncludes P285 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: [Diocese of Versailles, territoryIncludes, Rambouillet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rambouillet
Context triple: [Diocese of Versailles, territoryIncludes, 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9dbd1481909f35a4bee8e0b450 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bac57e8819093dd5faf350a4133 completed April 4, 2026, 5:03 a.m.
Created at: March 30, 2026, 7:28 p.m.