Triple

T16683977
Position Surface form Disambiguated ID Type / Status
Subject Mont-Blanc region E405409 entity
Predicate hasTown P847 FINISHED
Object Argentière E372252 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: Argentière | Statement: [Mont-Blanc region, hasTown, Argentière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentière
Context triple: [Mont-Blanc region, hasTown, Argentière]
  • A. Argentière chosen
    Argentière is a village in the Chamonix valley of the French Alps, known as a major base for skiing, mountaineering, and access to high-altitude terrain.
  • B. Glacier d’Argentière
    Glacier d’Argentière is a major valley glacier in the French Alps, renowned for its dramatic crevassed ice and popularity among mountaineers and skiers.
  • C. Glacier de la Brenva
    Glacier de la Brenva is a major valley glacier on the Italian side of the Mont Blanc massif, known for its dramatic icefalls and historic avalanches.
  • D. Argentière Glacier
    Argentière Glacier is a major valley glacier in the Mont Blanc massif of the French Alps, popular for mountaineering and alpine skiing.
  • E. Glacier de Taconnaz
    Glacier de Taconnaz is a major Alpine glacier in the Mont Blanc massif of the French Alps, known for its steep icefalls and proximity to the Chamonix valley.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d71a66881908c8d06cc074fdf29 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a422f8c8190873fd7089df8fbd4 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.