Triple

T549022
Position Surface form Disambiguated ID Type / Status
Subject Chamonix E12797 entity
Predicate twinTown P1072 FINISHED
Object Courmayeur E13526 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: Courmayeur | Statement: [Chamonix, twinTown, Courmayeur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courmayeur
Context triple: [Chamonix, twinTown, Courmayeur]
  • A. Courmayeur chosen
    Courmayeur is a renowned Italian Alpine resort town in the Aosta Valley, famous for skiing, mountaineering, and its proximity to the Mont Blanc massif.
  • B. Chamonix
    Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
  • C. Chambéry
    Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
  • D. Corsier-sur-Vevey
    Corsier-sur-Vevey is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known as the final home of film legend Charlie Chaplin.
  • E. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • 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_69a5216c43148190961ff8cea8305b7e completed March 2, 2026, 5:34 a.m.
Created at: March 1, 2026, 7:32 p.m.