Triple

T5512677
Position Surface form Disambiguated ID Type / Status
Subject Dora di Veny E144602 entity
Predicate flowsThrough P225 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: [Dora di Veny, flowsThrough, Courmayeur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courmayeur
Context triple: [Dora di Veny, flowsThrough, 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. Sallanches
    Sallanches is a commune in southeastern France’s Haute-Savoie department, situated in the French Alps near Mont Blanc and known as a gateway to major alpine ski resorts.
  • D. Nyons
    Nyons is a small town in southeastern France renowned for its olive production and picturesque setting in the Drôme Provençale region.
  • E. Embrun
    Embrun is a historic town in southeastern France’s Hautes-Alpes department, known for its picturesque setting in the Alps and proximity to the Lac de Serre-Ponçon.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f581c5081909a8f6d4653edb125 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d192808190b1e80a6f3be44870 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.