Triple

T6618753
Position Surface form Disambiguated ID Type / Status
Subject Dolomites E149621 entity
Predicate contains P35 FINISHED
Object Val di Fassa E370822 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 di Fassa | Statement: [Dolomites, contains, Val di Fassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val di Fassa
Context triple: [Dolomites, contains, Val di Fassa]
  • A. Val di Fassa chosen
    Val di Fassa is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and hiking opportunities.
  • B. Arzerello
    Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • C. 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.
  • D. La Thuile
    La Thuile is a mountain village and ski resort in northwestern Italy known for its extensive slopes and cross-border ski area linked with La Rosière in France.
  • E. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af5b21348190b7f09045e9ec7d63 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f78d41fc8190b883b83b267ec829 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 1:58 p.m.