Triple

T16797220
Position Surface form Disambiguated ID Type / Status
Subject Saint-Gervais-les-Bains-Le Fayet station E408264 entity
Predicate serves P98 FINISHED
Object Le Fayet E408265 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: Le Fayet | Statement: [Saint-Gervais-les-Bains-Le Fayet station, serves, Le Fayet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Fayet
Context triple: [Saint-Gervais-les-Bains-Le Fayet station, serves, Le Fayet]
  • A. Le Fayet chosen
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • B. La Frenais
    La Frenais is a surname most notably associated with British television writer Ian La Frenais, known for co-creating several classic UK comedy series.
  • C. Antoine-François Peyre
    Antoine-François Peyre was an 18th-century French architect and influential teacher associated with the neoclassical movement.
  • D. Pierre-Étienne
    Pierre-Étienne is a French masculine given name, often associated with notable historical and political figures in France.
  • E. Jean-Jacques Rifaud
    Jean-Jacques Rifaud was a 19th-century French explorer and antiquarian known for his archaeological work and artifact collecting in Egypt.
  • 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.