Triple

T2505111
Position Surface form Disambiguated ID Type / Status
Subject Arpitan E52559 entity
Predicate spokenIn P2266 FINISHED
Object Aosta Valley 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 | Statement: [Arpitan, spokenIn, Aosta Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aosta Valley
Context triple: [Arpitan, spokenIn, Aosta Valley]
  • 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. Valdôtain
    Valdôtain is a Franco-Provençal (Arpitan) dialect traditionally spoken by the inhabitants of Italy’s Aosta Valley.
  • C. Valtellina
    Valtellina is an alpine valley in northern Italy renowned for its terraced vineyards, mountain landscapes, and traditional cuisine.
  • 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. Val d’Aran
    Val d’Aran is a high-mountain valley in the central Pyrenees of Catalonia, Spain, known for its distinct Aranese culture and language, ski resorts like Baqueira-Beret, and strategic location on the Atlantic side of the range.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cec9f48190848b6129aa394ce4 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8bc7708190a507136d1f9f34ca completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.