Triple

T4530780
Position Surface form Disambiguated ID Type / Status
Subject Little St Bernard Pass E106290 entity
Predicate region P40 FINISHED
Object Aosta Valley region E20538 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: Aosta Valley region | Statement: [Little St Bernard Pass, region, Aosta Valley region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aosta Valley region
Context triple: [Little St Bernard Pass, region, Aosta Valley region]
  • A. Aosta Valley chosen
    Aosta Valley is a mountainous autonomous region in northwestern Italy, renowned for its Alpine landscapes, ski resorts, and proximity to major peaks such as Mont Blanc.
  • B. Valtellina
    Valtellina is an alpine valley in northern Italy renowned for its terraced vineyards, mountain landscapes, and traditional cuisine.
  • C. Valdôtain
    Valdôtain is a Franco-Provençal (Arpitan) dialect traditionally spoken by the inhabitants of Italy’s Aosta Valley.
  • D. Tarentaise Valley
    The Tarentaise Valley is a high alpine valley in the French Alps renowned for its major ski resorts and dramatic mountain scenery.
  • E. Alagna Valsesia
    Alagna Valsesia is a mountain village and ski resort in Italy’s Piedmont region, renowned as a gateway to Monte Rosa and high-altitude alpine climbing.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd579d7a88819083eb0620ca176f2e completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc55254848190940c506e75d79933 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:03 p.m.