Triple

T7036308
Position Surface form Disambiguated ID Type / Status
Subject Aiguille Noire de Peuterey E163392 entity
Predicate approachFrom P4067 FINISHED
Object Val Veny E70462 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: Val Veny | Statement: [Aiguille Noire de Peuterey, approachFrom, Val Veny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Veny
Context triple: [Aiguille Noire de Peuterey, approachFrom, Val Veny]
  • A. Val Veny chosen
    Val Veny is a scenic alpine valley near Courmayeur in Italy’s Aosta Valley, known for its dramatic views of Mont Blanc, hiking trails, and natural landscapes.
  • B. Vanney
    Vanney is the surname of Greg Vanney, a former American soccer player and current professional soccer coach.
  • C. Val Venosta
    Val Venosta is a valley in South Tyrol in northern Italy, known for its alpine landscapes, apple orchards, and mix of Italian and German-speaking culture.
  • D. Valentano
    Valentano is a small historic town in the Lazio region of central Italy, known for its medieval architecture and ties to the Farnese noble family.
  • E. Val Montjoie
    Val Montjoie is a scenic alpine valley in the French Alps, known for its traditional villages, mountain landscapes, and access to the Mont Blanc massif.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e220508c8190b8950cf38280b8c2 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78863c2fc8190b9b54613968742e1 completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:36 p.m.