Triple

T23304513
Position Surface form Disambiguated ID Type / Status
Subject Ambra E590397 entity
Predicate hasMunicipality P847 FINISHED
Object Bucine 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: Bucine | Statement: [Ambra, hasMunicipality, Bucine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucine
Context triple: [Ambra, hasMunicipality, Bucine]
  • A. Bucine chosen
    Bucine is a municipality in the Tuscany region of central Italy, known for its rural landscapes and historic villages.
  • B. Bixio
    Bixio is an Italian surname most notably associated with Nino Bixio, a 19th-century general and patriot who fought alongside Giuseppe Garibaldi in the unification of Italy.
  • C. 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.
  • D. Verduno
    Verduno is a small village in Italy’s Piedmont region renowned as one of the historic communes producing Barolo wine.
  • E. Bussana
    Bussana is a small coastal village in the Liguria region of northwestern Italy, known for its historic hilltop ruins and artistic community.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.