Triple

T16797299
Position Surface form Disambiguated ID Type / Status
Subject Col de Voza E408266 entity
Predicate connects P390 FINISHED
Object Les Houches E69658 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: Les Houches | Statement: [Col de Voza, connects, Les Houches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Houches
Context triple: [Col de Voza, connects, Les Houches]
  • A. Les Houches chosen
    Les Houches is a French Alpine village and ski resort near Chamonix, known for its family-friendly slopes and World Cup downhill course.
  • 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. Meudon
    Meudon is a suburban commune in the southwestern outskirts of Paris, France, known historically as a residential area for artists, intellectuals, and the French elite.
  • D. Saint-Flour
    Saint-Flour is a historic hilltop town in the Cantal department of south-central France, known for its medieval architecture and dramatic setting in the Auvergne region.
  • E. Saclay
    Saclay is a French commune in the Île-de-France region, known for hosting part of the Paris-Saclay research and university cluster.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2ab08e8819097072a23c4a62392 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab109694819094c696904faf0418 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.