Triple

T22865477
Position Surface form Disambiguated ID Type / Status
Subject N10 road E567040 entity
Predicate passesNear P416 FINISHED
Object Rambouillet NE NERFINISHED

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: [N10 road, passesNear, Rambouillet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rambouillet
Context triple: [N10 road, passesNear, 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. Essoyes
    Essoyes is a small commune in northeastern France known for its association with the painter Pierre-Auguste Renoir and its picturesque Champagne countryside setting.
  • C. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • D. Savoye
    Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f00f21081909b771610549c5757 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.