Triple

T548992
Position Surface form Disambiguated ID Type / Status
Subject Chamonix E12797 entity
Predicate shortName P43 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: [Chamonix, shortName, Chamonix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamonix
Context triple: [Chamonix, shortName, 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. 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.
  • C. Montgenèvre
    Montgenèvre is a French Alpine ski resort village in the Hautes-Alpes department, known for its high-altitude slopes and location near the Italian border.
  • D. Le Puy-en-Velay
    Le Puy-en-Velay is a historic town in south-central France renowned for its volcanic landscape, Marian pilgrimage site, and traditional lace-making.
  • E. Modane
    Modane is a French Alpine town in the Savoie department known as a key transit point through the Fréjus Road and Rail Tunnels between France and Italy.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49900895c819092a131c185a758bf completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff488e648190b74d3000e45226b4 completed March 2, 2026, 3:08 a.m.
Created at: March 1, 2026, 7:32 p.m.