Triple

T21366837
Position Surface form Disambiguated ID Type / Status
Subject Vicentine Alps E526938 entity
Predicate near P350 FINISHED
Object Asiago E749745 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: Asiago | Statement: [Vicentine Alps, near, Asiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asiago
Context triple: [Vicentine Alps, near, Asiago]
  • A. Asiago chosen
    Asiago is a town in Italy’s Veneto region best known for giving its name to the popular semi-soft Asiago cheese and for its scenic plateau setting.
  • B. Talamello
    Talamello is a small Italian town in the Emilia-Romagna region, known for its historic hilltop setting and production of traditional fossa cheese.
  • C. Agordino
    Agordino is a mountainous historical and geographical region in the Dolomites of northeastern Italy, known for its alpine landscapes and traditional villages within the Province of Belluno.
  • D. Fasano
    Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
  • E. Mozzecane
    Mozzecane is a small municipality in the Province of Verona in Italy’s Veneto region, known for its rural character and proximity to major historical and cultural centers like Verona and Lake Garda.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06fbe108190a07a46824b96a963 completed April 22, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad6e67c88190b8152ce0bcd77f1c completed May 17, 2026, 11:58 a.m.
Created at: April 16, 2026, 5:09 p.m.