Triple

T7739890
Position Surface form Disambiguated ID Type / Status
Subject Green Line (Lisbon Metro) E175478 entity
Predicate ticketMedium P9955 FINISHED
Object Navegante card E104063 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: Navegante card | Statement: [Green Line (Lisbon Metro), ticketMedium, Navegante card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navegante card
Context triple: [Green Line (Lisbon Metro), ticketMedium, Navegante card]
  • A. Navegante card chosen
    The Navegante card is a rechargeable contactless smart card used for public transport fares in the Lisbon metropolitan area.
  • B. Go-To Card
    The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
  • C. The Card
    The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
  • D. Viva Viagem smart card
    The Viva Viagem smart card is a rechargeable contactless travel card used for public transportation across the Lisbon metropolitan area, including metro, buses, trams, and some regional trains.
  • E. Presto card
    The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035cddb881908bdfc1bd7d6a64ad completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be4178408190850c284aab895442 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.