Triple

T22371772
Position Surface form Disambiguated ID Type / Status
Subject Dolomite valleys E553056 entity
Predicate hasValley P650 FINISHED
Object Val Pusteria 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: Val Pusteria | Statement: [Dolomite valleys, hasValley, Val Pusteria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Pusteria
Context triple: [Dolomite valleys, hasValley, Val Pusteria]
  • A. Val Pusteria chosen
    Val Pusteria is a scenic alpine valley in northern Italy renowned for its dramatic mountain landscapes, hiking and skiing opportunities, and picturesque villages within the Dolomites.
  • B. Capannoli
    Capannoli is a small Italian municipality in the Tuscany region, known for its rural landscapes and historic village character.
  • C. Pastrengo
    Pastrengo is a town in northern Italy’s Veneto region, historically notable as the site of a key battle during the First Italian War of Independence.
  • D. Pascola
    Pascola is a small rural village located in Pemiscot County in the southeastern Missouri Bootheel region of the United States.
  • E. Pozzarello
    Pozzarello is a coastal locality and seaside area within the municipality of Monte Argentario in Tuscany, Italy, known for its beach and tourist facilities.
  • 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_69f15804f1b08190b57689e6afb615a0 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.