Triple

T21346787
Position Surface form Disambiguated ID Type / Status
Subject Villebon-sur-Yvette E526358 entity
Predicate locatedOnWaterway P4361 FINISHED
Object La Roche au Diable 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: La Roche au Diable | Statement: [Villebon-sur-Yvette, locatedOnWaterway, La Roche au Diable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Roche au Diable
Context triple: [Villebon-sur-Yvette, locatedOnWaterway, La Roche au Diable]
  • A. La Roche au Prêtre chosen
    La Roche au Prêtre is a small watercourse or stream associated with the commune of Villebon-sur-Yvette in the Essonne department of France.
  • B. La Chaise-Dieu
    La Chaise-Dieu is a French village in the Haute-Loire department renowned for its historic Benedictine abbey and annual classical music festival.
  • C. Le Teilleul
    Le Teilleul is a commune in the Manche department of northwestern France, known for its rural character within the Normandy region.
  • D. La Mare au Diable
    La Mare au Diable is a pastoral novel by George Sand that portrays rural French peasant life with a blend of realism, romance, and social commentary.
  • E. Lord of La Fère
    Lord of La Fère was a medieval French seigneurial title associated with the powerful noble house of Coucy.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba8f1c8819089c5d753876b44d5 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 4:55 p.m.