Triple

T1884064
Position Surface form Disambiguated ID Type / Status
Subject Quincy Adams station E39919 entity
Predicate hasFareCollection P395 FINISHED
Object CharlieCard E3327 NE FINISHED

How this triple was built (3 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: CharlieCard | Statement: [Quincy Adams station, hasFareCollection, CharlieCard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CharlieCard
Context triple: [Quincy Adams station, hasFareCollection, CharlieCard]
  • A. CharlieCard chosen
    The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
  • B. CharmCard
    CharmCard is a contactless smart fare card used for paying transit fares across the Maryland Transit Administration’s bus, rail, and other public transportation services.
  • C. Card
    Card is a surname most notably borne by Andrew Card, a former White House Chief of Staff under U.S. President George W. Bush.
  • D. Clipper card
    The Clipper card is a reloadable contactless smart card used to pay fares across multiple public transit systems in the San Francisco Bay Area.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFareCollection
Context triple: [Quincy Adams station, hasFareCollection, CharlieCard]
  • A. hasFaregates
    Indicates that an entity is equipped with or contains faregates used to control or validate access, typically for paid entry.
  • B. hasFareControlIntegrationSince
    Indicates that a fare control system has been integrated with another system or entity starting from a specific point in time.
  • C. hasFareZone
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • D. airTrainFareCollection
    Indicates a relationship where fares for an air train service are collected from passengers or through a designated payment system.
  • E. fareSystem chosen
    Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
  • F. None of above.

Provenance (4 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb4f53f408190ae30e1a12721e7d7 completed March 7, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf61413081909c0e840590aaf631 completed March 8, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69abafe497a88190a1da6af2888b71b4 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.