Triple

T19456342
Position Surface form Disambiguated ID Type / Status
Subject Ônibus 174 E486741 entity
Predicate title P38 FINISHED
Object Ônibus 174 — 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: Ônibus 174 | Statement: [Ônibus 174, title, Ônibus 174]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ônibus 174
Context triple: [Ônibus 174, title, Ônibus 174]
  • A. Ônibus 174 chosen
    Ônibus 174 is a Brazilian documentary film that examines the 2000 Rio de Janeiro bus hijacking and its social and political context.
  • B. The Bus
    The Bus is the public transportation system serving the Marble Valley region, providing local and regional bus services for residents and visitors.
  • C. The Bus
    The Bus is the nickname of Jerome Bettis, a Hall of Fame NFL running back renowned for his powerful, bruising rushing style with the Pittsburgh Steelers.
  • D. The Bus
    The Bus is the nickname of New Zealand rugby union winger Julian Savea, renowned for his powerful, hard-running style and prolific try-scoring.
  • E. The Runaway Bus
    The Runaway Bus is a 1954 British comedy thriller film best known for its ensemble cast and lighthearted take on a hijacked coach journey.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c4088881908f23f25a82a513f6 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.