Triple

T12838636
Position Surface form Disambiguated ID Type / Status
Subject French Alps E306984 entity
Predicate hasResort P4287 FINISHED
Object Alpe d’Huez E283731 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: Alpe d’Huez | Statement: [French Alps, hasResort, Alpe d’Huez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alpe d’Huez
Context triple: [French Alps, hasResort, Alpe d’Huez]
  • A. Alpe d’Huez chosen
    Alpe d’Huez is a famous French Alpine ski resort and cycling climb renowned for its challenging hairpin bends and frequent appearances in the Tour de France.
  • B. Col du Galibier
    Col du Galibier is a high mountain pass in the French Alps, famed as one of the most iconic and challenging climbs in the Tour de France.
  • C. Col du Midi
    Col du Midi is a high-altitude glacial pass in the Mont Blanc massif of the French Alps, serving as a key access point for mountaineering and ski touring routes.
  • D. Col du Granier
    Col du Granier is a high mountain pass in the French Alps that links the Grésivaudan and Chambéry valleys and serves as a popular route for cycling and scenic drives.
  • E. Col du Bonhomme
    Col du Bonhomme is a mountain pass in the Vosges range of northeastern France, historically significant as a strategic crossing point between Alsace and Lorraine.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c962f08190af7dee663a1d2319 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:35 p.m.