Triple

T9563360
Position Surface form Disambiguated ID Type / Status
Subject Weesperplein metro station E230729 entity
Predicate fareSystem P395 FINISHED
Object OV-chipkaart E28408 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: OV-chipkaart | Statement: [Weesperplein metro station, fareSystem, OV-chipkaart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OV-chipkaart
Context triple: [Weesperplein metro station, fareSystem, OV-chipkaart]
  • A. OV-chipkaart chosen
    OV-chipkaart is the nationwide contactless smart card system used for paying public transport fares across the Netherlands.
  • B. Bilhete Único smart card
    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.
  • C. OPUS card
    The OPUS card is a reusable, contactless smart card used for public transit fare payment across the greater Montreal area and other regions in Quebec.
  • D. TAP card
    The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
  • E. STIF card
    The STIF card was a contactless smart card used for public transportation in the Île-de-France region before being rebranded as the Navigo pass.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9968b8608190b3078fe5764f0a69 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a56f0481908f36df2d4d1291f2 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:03 p.m.