Triple

T8538940
Position Surface form Disambiguated ID Type / Status
Subject MuniMobile app E202147 entity
Predicate shortName P43 FINISHED
Object MuniMobile E202147 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: MuniMobile | Statement: [MuniMobile app, shortName, MuniMobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MuniMobile
Context triple: [MuniMobile app, shortName, MuniMobile]
  • A. MuniMobile app chosen
    MuniMobile app is San Francisco’s official mobile ticketing application that lets riders purchase and use Muni transit fares directly from their smartphones.
  • B. Muni Passport
    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.
  • C. Muni Metro lines
    Muni Metro lines are a network of light rail routes in San Francisco that provide rapid transit service across the city as part of the San Francisco Municipal Railway system.
  • D. Muni bus network
    The Muni bus network is San Francisco’s citywide public transit system of buses and trolleybuses that provides comprehensive surface transportation across the city.
  • E. Metro Board
    Metro Board is the governing body responsible for overseeing policy, budget, and strategic decisions for a metropolitan transit agency.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a7441c8190980c3516073422fe completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d953fd0819094958d2b5a5a8e13 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:18 p.m.