Triple

T698396
Position Surface form Disambiguated ID Type / Status
Subject Trois Monts Route E13943 entity
Predicate approachFrom P4067 FINISHED
Object Chamonix E12797 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: Chamonix | Statement: [Trois Monts Route, approachFrom, Chamonix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamonix
Context triple: [Trois Monts Route, approachFrom, Chamonix]
  • A. Chamonix chosen
    Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
  • B. Aiguilles de Chamonix
    Aiguilles de Chamonix are a dramatic cluster of sharp granite peaks in the Mont Blanc massif of the French Alps, renowned worldwide for alpine climbing and mountaineering.
  • C. Crans-Montana
    Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
  • D. La Clusaz
    La Clusaz is a well-known French Alpine village and ski resort renowned for its extensive slopes and traditional mountain charm.
  • E. Courmayeur
    Courmayeur is a renowned Italian Alpine resort town in the Aosta Valley, famous for skiing, mountaineering, and its proximity to the Mont Blanc massif.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c99be48190babc37c397b6a186 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ccab5bc819099c0f060147c8f27 completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:36 p.m.