Triple

T3509419
Position Surface form Disambiguated ID Type / Status
Subject King station E74158 entity
Predicate fareSystem P395 FINISHED
Object TTC fare system E331216 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: TTC fare system | Statement: [King station, fareSystem, TTC fare system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TTC fare system
Context triple: [King station, fareSystem, TTC fare system]
  • A. TTC
    TTC is the station code for The Trafford Centre tram stop on Greater Manchester's Metrolink light rail network.
  • B. TTC
    TTC is an organizational partner of the 3rd Generation Partnership Project (3GPP), contributing to the development and standardization of mobile telecommunications technologies.
  • C. TTC single fare zone chosen
    The TTC single fare zone is the unified payment area within Toronto’s transit system where riders can travel across the network on a single fare without paying additional zone-based charges.
  • D. Toronto subway
    The Toronto subway is the primary rapid transit system in Toronto, Ontario, consisting of multiple underground and elevated lines that serve as the backbone of the city’s public transportation network.
  • E. Toronto streetcar system
    The Toronto streetcar system is one of the largest and oldest electric streetcar networks in North America, serving as a key component of Toronto’s public transit and urban identity.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0cc394819087a9b598023f4f93 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e71ae8819096ea39955c92076a completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.