Triple

T2952799
Position Surface form Disambiguated ID Type / Status
Subject LinkPass E79858 entity
Predicate hasVariant P455 FINISHED
Object Monthly LinkPass E79858 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: Monthly LinkPass | Statement: [LinkPass, hasVariant, Monthly LinkPass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monthly LinkPass
Context triple: [LinkPass, hasVariant, Monthly LinkPass]
  • A. LinkPass chosen
    LinkPass is a type of transit fare product used within the same system as the CharlieTicket, providing riders with a pass-based option for public transportation access.
  • B. ConnectMiles
    ConnectMiles is the frequent-flyer loyalty program of Copa Airlines, allowing members to earn and redeem miles for flights and travel-related benefits.
  • C. Getlink
    Getlink is a French-based company that owns and operates the infrastructure of the Channel Tunnel rail link between the United Kingdom and continental Europe.
  • D. Fieldlink
    Fieldlink was an early digital payments and security startup co-founded by Max Levchin that later evolved into the company behind PayPal.
  • E. Link 2 Line
    Link 2 Line is a light rail service in the Seattle metropolitan area that connects key neighborhoods and suburbs as part of the Sound Transit Link system.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fe4b688190a0f68c4f80cd6f8f completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc82d1248190869beffffc0bf956 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.