Triple

T2651751
Position Surface form Disambiguated ID Type / Status
Subject Epic Pass E53914 entity
Predicate hasVariant P455 FINISHED
Object Epic Local Pass E53914 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: Epic Local Pass | Statement: [Epic Pass, hasVariant, Epic Local Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epic Local Pass
Context triple: [Epic Pass, hasVariant, Epic Local Pass]
  • A. Epic Pass chosen
    Epic Pass is a season-long ski and snowboard pass that provides access to a large network of Vail Resorts–owned and partner mountains worldwide.
  • B. Ikon Pass network
    The Ikon Pass network is a multi-resort ski and snowboard pass program that provides access to a collection of premier mountain destinations across North America and beyond.
  • C. Companion Pass
    Companion Pass is Southwest Airlines’ top Rapid Rewards benefit that lets a designated companion fly with you for only taxes and fees on both paid and award tickets.
  • D. EcoPass
    EcoPass is a transit pass program that provides eligible riders with unlimited access to public transportation services within the Regional Transportation District.
  • E. Transit Access Pass
    Transit Access Pass is a reusable smart fare card used for paying transit fares across participating public transportation systems.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98ce81fc8190b7c6c66acfcb87c7 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.