Triple

T5332927
Position Surface form Disambiguated ID Type / Status
Subject Clipper E123351 entity
Predicate replaced P101 FINISHED
Object TransLink E193028 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: TransLink | Statement: [Clipper, replaced, TransLink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TransLink
Context triple: [Clipper, replaced, TransLink]
  • A. TransLink chosen
    TransLink was the original name of the San Francisco Bay Area’s regional contactless transit fare payment system, later rebranded as the Clipper card.
  • B. TransLink
    TransLink is the regional transportation authority that plans, manages, and operates public transit and related transportation services across Metro Vancouver, British Columbia.
  • C. Translink
    Translink is Northern Ireland’s main public transport operator, running bus and rail services across the region including in Belfast.
  • D. OC Transpo
    OC Transpo is the public transit agency that operates bus and light rail services throughout Ottawa, Ontario.
  • E. Metlink
    Metlink is the public transport brand and coordinating agency for bus, rail, and ferry services in New Zealand’s Wellington region.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ac8e10819088b6a9e02d927044 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18baeca081909acc11d0c6c89f6d completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.