Triple

T11508997
Position Surface form Disambiguated ID Type / Status
Subject FlexPass E272859 entity
Predicate fareTechnology P395 FINISHED
Object paper pass LITERAL 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: paper pass | Statement: [FlexPass, fareTechnology, paper pass]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fareTechnology
Context triple: [FlexPass, fareTechnology, paper pass]
  • A. fareIntegration
    Indicates that multiple transportation services or modes share a coordinated fare system, allowing passengers to use a single payment or ticket across them.
  • B. fareControlUnifiedWith
    Indicates that separate fare control areas are combined into a single, shared fare-controlled zone.
  • C. fareBrand
    Indicates the specific fare category or brand under which a ticket or booking is sold, defining its associated rules, benefits, and restrictions.
  • D. fareIntegrationScope
    Indicates the extent to which fares are coordinated or unified across different transportation services or systems.
  • 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 (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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db65eb081908613a1002c6a4fb4 completed April 10, 2026, 3:25 a.m.
PD Predicate disambiguation batch_69d80876e5f0819088cff2e72f773cf6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:36 p.m.