Triple

T369970
Position Surface form Disambiguated ID Type / Status
Subject SamTrans E8245 entity
Predicate connectsWith P37 FINISHED
Object Muni E6878 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 | Statement: [SamTrans, connectsWith, Muni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muni
Context triple: [SamTrans, connectsWith, Muni]
  • A. Muni chosen
    Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
  • 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. Fruitvale
    Fruitvale is a vibrant, historically Latino neighborhood in Oakland, California, known for its cultural festivals, diverse community, and bustling commercial district centered around International Boulevard.
  • D. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • E. Orlyval
    Orlyval is an automated light rail shuttle service in the Paris region that links Orly Airport to the broader RER and metro network.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebfdb0608190b1794a871d0d237a completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3ecac7e048190a76c02c738599c61 completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.