Triple

T20181392
Position Surface form Disambiguated ID Type / Status
Subject Monte Rosa region E492734 entity
Predicate contains P35 FINISHED
Object Alagna Valsesia NE NERFINISHED

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: Alagna Valsesia | Statement: [Monte Rosa region, contains, Alagna Valsesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alagna Valsesia
Context triple: [Monte Rosa region, contains, Alagna Valsesia]
  • A. Alagna Valsesia chosen
    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.
  • B. Bregaglia Valley
    Bregaglia Valley is a scenic alpine valley in southeastern Switzerland known for its dramatic granite peaks, traditional villages, and cross-border links to Italy.
  • C. Val di Zoldo
    Val di Zoldo is a mountainous valley and municipality in the Dolomites of northeastern Italy, known for its alpine scenery, skiing, and traditional gelato-making heritage.
  • D. Val di Non
    Val di Non is a valley in northern Italy’s Trentino region, renowned for its apple orchards, scenic alpine landscapes, and historic castles.
  • E. Val di Fassa
    Val di Fassa is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and hiking opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668eed2e88190b54b15e6545dbdf8 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.