Triple

T20801586
Position Surface form Disambiguated ID Type / Status
Subject Toesca metro station E512052 entity
Predicate fareSystem P395 FINISHED
Object Tarjeta Bip! 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: Tarjeta Bip! | Statement: [Toesca metro station, fareSystem, Tarjeta Bip!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarjeta Bip!
Context triple: [Toesca metro station, fareSystem, Tarjeta Bip!]
  • A. Bip! card chosen
    The Bip! card is a rechargeable contactless smart card used to pay fares across Santiago, Chile’s integrated public transportation system.
  • B. Leap Card
    Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
  • C. Beep card
    The Beep card is a contactless smart card used as a stored-value ticketing system for public transportation and related services in the Philippines.
  • D. Q Card
    Q Card is a contactless smart fare card used for paying public transportation fares in the Houston METRO transit system.
  • E. Bingo
    Bingo is a stage play by British dramatist Edward Bond that portrays William Shakespeare in his final years, exploring themes of guilt, capitalism, and social responsibility.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2b0d75881909cc89ebe4e27adc1 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:39 p.m.