Triple

T12796332
Position Surface form Disambiguated ID Type / Status
Subject Italian cruiser Pola E305898 entity
Predicate builder P3143 FINISHED
Object OTO Livorno E67624 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: OTO Livorno | Statement: [Italian cruiser Pola, builder, OTO Livorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OTO Livorno
Context triple: [Italian cruiser Pola, builder, OTO Livorno]
  • A. Porto Azzurro
    Porto Azzurro is a picturesque coastal town and popular tourist resort on the Italian island of Elba, known for its scenic harbor and historic charm.
  • B. Viareggio
    Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
  • C. Livorno chosen
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • D. Fiorenzuola
    Fiorenzuola is an Italian football club based in Fiorenzuola d'Arda, Emilia-Romagna, that has competed primarily in the lower professional divisions.
  • E. Libertas Livorno
    Libertas Livorno is an Italian professional basketball club based in Livorno, known for competing in the country’s top leagues during the late 20th century.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6db68481909a2ca8da1287f3e0 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850d6ebc8190aaffcac09f4b15eb completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.