Triple

T6356216
Position Surface form Disambiguated ID Type / Status
Subject Bucine E142996 entity
Predicate demonym P191 FINISHED
Object Bucinesi 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: Bucinesi | Statement: [Bucine, demonym, Bucinesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucinesi
Context triple: [Bucine, demonym, Bucinesi]
  • A. Buccari
    Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
  • B. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • C. Bucine chosen
    Bucine is a municipality in the Tuscany region of central Italy, known for its rural landscapes and historic villages.
  • D. Baciocchi
    Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
  • E. Orotelli
    Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
  • 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_69c067f37d0881909289bafb09e29298 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.