Triple

T822752
Position Surface form Disambiguated ID Type / Status
Subject Graian Alps E17784 entity
Predicate containsTown P847 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: [Graian Alps, containsTown, Courmayeur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courmayeur
Context triple: [Graian Alps, containsTown, 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. Zermatt
    Zermatt is a renowned Swiss alpine resort village in the canton of Valais, famous for its skiing, mountaineering, and proximity to iconic peaks like the Matterhorn.
  • D. Chambéry
    Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
  • E. Crans-Montana
    Crans-Montana is a renowned Swiss Alpine resort town known for its skiing, golf courses, and panoramic views of the Valais Alps.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab7c139c8190b6d75661b5138d89 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b6f0a0819086f8789773f8251e completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.