Triple

T13909670
Position Surface form Disambiguated ID Type / Status
Subject Valtournenche E334454 entity
Predicate hasDemonym P191 FINISHED
Object Valtournençois E334454 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: Valtournençois | Statement: [Valtournenche, hasDemonym, Valtournençois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valtournençois
Context triple: [Valtournenche, hasDemonym, Valtournençois]
  • A. Valmondois
    Valmondois is a small commune in the Val-d'Oise department in northern France, known for its picturesque setting along the River Oise and its association with the artist Honoré Daumier.
  • B. Vernouillet
    Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
  • C. Montévrain
    Montévrain is a suburban commune in the eastern outskirts of Paris, France, known for its proximity to Disneyland Paris and its role in the Marne-la-Vallée new town development.
  • D. Valtournenche chosen
    Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
  • E. Villeré
    Villeré is a French surname associated with individuals such as Marie Laure Villeré.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2721ec6c8190888f4a9d004eb8e0 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69febfcd67f081909f97bcf38d814a13 completed May 9, 2026, 5:02 a.m.
Created at: April 9, 2026, 10:16 p.m.