Triple

T22371369
Position Surface form Disambiguated ID Type / Status
Subject Province of Belluno E553047 entity
Predicate contains P35 FINISHED
Object Monte Cristallo 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: Monte Cristallo | Statement: [Province of Belluno, contains, Monte Cristallo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Cristallo
Context triple: [Province of Belluno, contains, Monte Cristallo]
  • A. Monte Cristallo chosen
    Monte Cristallo is a prominent mountain massif in the Italian Dolomites, renowned for its dramatic peaks and popular hiking and climbing routes.
  • B. Monte Fumaiolo
    Monte Fumaiolo is a mountain in the northern Apennines of Italy best known as the source of the Tiber River.
  • C. Monte Civetta
    Monte Civetta is a prominent mountain in the Dolomites of northeastern Italy, renowned for its towering rock faces and popularity among climbers and hikers.
  • D. Monte Vettore
    Monte Vettore is a prominent mountain in central Italy’s Apennine range, known for its dramatic landscapes and popular hiking routes within the Sibillini Mountains.
  • E. Monte Generoso
    Monte Generoso is a prominent mountain in the Lugano Prealps on the Swiss–Italian border, known for its panoramic views and popular hiking and cogwheel railway routes.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15803e7208190ba14c91fb90e15ca completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.