Triple

T3637969
Position Surface form Disambiguated ID Type / Status
Subject Taipei Metro E77116 entity
Predicate usesFareCard P9955 FINISHED
Object iPASS
iPASS is a Taiwanese contactless smart card widely used for public transportation fares and small-value electronic payments.
E376163 NE FINISHED

How this triple was built (4 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: iPASS | Statement: [Taipei Metro, usesFareCard, iPASS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPASS
Context triple: [Taipei Metro, usesFareCard, iPASS]
  • A. I-PASS
    I-PASS is an electronic toll collection system used on Illinois tollways that allows drivers to pay tolls automatically without stopping.
  • B. OnePass
    OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
  • C. FlexPass
    FlexPass was a regional transit pass program in the Puget Sound area that provided unlimited rides on participating public transportation systems before being phased out in favor of the ORCA card.
  • D. 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.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: iPASS
Triple: [Taipei Metro, usesFareCard, iPASS]
Generated description
iPASS is a Taiwanese contactless smart card widely used for public transportation fares and small-value electronic payments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: iPASS
Target entity description: iPASS is a Taiwanese contactless smart card widely used for public transportation fares and small-value electronic payments.
  • A. I-PASS
    I-PASS is an electronic toll collection system used on Illinois tollways that allows drivers to pay tolls automatically without stopping.
  • B. OnePass
    OnePass was Continental Airlines’ frequent flyer loyalty program that allowed passengers to earn and redeem miles for flights and travel rewards.
  • C. FlexPass
    FlexPass was a regional transit pass program in the Puget Sound area that provided unlimited rides on participating public transportation systems before being phased out in favor of the ORCA card.
  • D. 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.
  • 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. chosen

Provenance (5 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc328e5e481909d26318c743bc84a completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f23298481909d313d6b3f8013cd completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b450785378819090b4ed7536db7757 completed March 13, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_69b45a0afef8819097c6e87127b4d1db completed March 13, 2026, 6:40 p.m.
Created at: March 8, 2026, 3:24 p.m.