Triple

T6356181
Position Surface form Disambiguated ID Type / Status
Subject Bucine E142996 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Bucine (town) E142996 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: Bucine (town) | Statement: [Bucine, hasAdministrativeCenter, Bucine (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucine (town)
Context triple: [Bucine, hasAdministrativeCenter, Bucine (town)]
  • A. Bucine chosen
    Bucine is a municipality in the Tuscany region of central Italy, known for its rural landscapes and historic villages.
  • B. Bussana
    Bussana is a small coastal village in the Liguria region of northwestern Italy, known for its historic hilltop ruins and artistic community.
  • C. Maslianico
    Maslianico is a small municipality in the Province of Como in Lombardy, northern Italy, located near Lake Como and the Swiss border.
  • D. Bibinje
    Bibinje is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, located just southeast of the city of Zadar.
  • E. Buje
    Buje is a small historic town in the Istrian region of Croatia, known for its hilltop setting, Venetian-influenced architecture, and surrounding vineyards and olive groves.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e22c00819089bc68efb85bc2c8 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5966a88190a7184157b235b170 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.