Triple

T1789097
Position Surface form Disambiguated ID Type / Status
Subject Muni Passport E39453 entity
Predicate relatedTo P37 FINISHED
Object Muni day pass E39453 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: Muni day pass | Statement: [Muni Passport, relatedTo, Muni day pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muni day pass
Context triple: [Muni Passport, relatedTo, Muni day pass]
  • A. Muni Passport chosen
    Muni Passport is a time-based transit pass that provides unlimited rides on San Francisco’s Muni system, including historic streetcars and cable cars, for a set number of days.
  • B. Transit Access Pass
    Transit Access Pass is a reusable smart fare card used for paying transit fares across participating public transportation systems.
  • C. MetroAccess
    MetroAccess is a paratransit service providing door-to-door transportation for people with disabilities in the Washington, D.C. metropolitan area.
  • D. One Day Convenience Pass
    The One Day Convenience Pass is a SEPTA Key fare option that provides unlimited rides on eligible SEPTA services for a single day.
  • E. MetroCard
    MetroCard is a magnetic stripe payment card formerly used as the primary method for paying fares on New York City’s public transit system, including subways and buses.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65111e5481909c22abb6ad966814 completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a8a69c8190885bf06a06d3869f completed March 8, 2026, 4:54 p.m.
Created at: March 4, 2026, 7:32 p.m.