Triple

T11942913
Position Surface form Disambiguated ID Type / Status
Subject Brigadeiro metro station E284220 entity
Predicate fareSystem P395 FINISHED
Object Bilhete Único E282990 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: Bilhete Único | Statement: [Brigadeiro metro station, fareSystem, Bilhete Único]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilhete Único
Context triple: [Brigadeiro metro station, fareSystem, Bilhete Único]
  • A. Bilhete Único smart card chosen
    The Bilhete Único smart card is São Paulo’s integrated public transport fare card, allowing seamless, discounted transfers across the city’s metro, bus, and train networks.
  • B. Boleto de Entrada
    Boleto de Entrada is a studio album by Puerto Rican singer-songwriter Kany García that helped establish her prominence in Latin pop music.
  • C. Raseedi Ticket
    Raseedi Ticket is an autobiographical work by renowned Punjabi writer Amrita Pritam, reflecting on her personal life, relationships, and literary journey.
  • D. Kitaca
    Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
  • E. BOLT Transit
    BOLT Transit is a local public transportation service operating within the Greater Toronto and Hamilton Area in Ontario, Canada.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90342bb908190a019ac91a2b82f3d completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471ba7fd88190909596e6e01e8714 completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.