Triple

T12617200
Position Surface form Disambiguated ID Type / Status
Subject Fortifications of Vauban E301283 entity
Predicate locatedIn P40 FINISHED
Object Mont-Dauphin E804949 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: Mont-Dauphin | Statement: [Fortifications of Vauban, locatedIn, Mont-Dauphin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mont-Dauphin
Context triple: [Fortifications of Vauban, locatedIn, Mont-Dauphin]
  • A. Mont-Dauphin chosen
    Mont-Dauphin is a fortified village in southeastern France, renowned for its 17th-century Vauban-designed defenses and strategic position overlooking the confluence of Alpine valleys.
  • B. Saint-François
    Saint-François is a coastal commune and popular tourist resort town located on the island of Grande-Terre in Guadeloupe, known for its marina, beaches, and proximity to Pointe des Châteaux.
  • C. Montfaucon
    Montfaucon is a small municipality in the Jura canton of Switzerland, situated on the Franches-Montagnes plateau.
  • D. Morzine
    Morzine is a popular Alpine village and ski resort in southeastern France, known for its extensive slopes, traditional Savoyard charm, and access to the Portes du Soleil ski area.
  • E. Champlan
    Champlan is a small commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed2e12c819097cfd2a40116f491 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:13 p.m.