Triple

T22090039
Position Surface form Disambiguated ID Type / Status
Subject Irving Street and 9th Avenue E545888 entity
Predicate fareSystem P395 FINISHED
Object Muni NE NERFINISHED

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: [Irving Street and 9th Avenue, fareSystem, Muni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muni
Context triple: [Irving Street and 9th Avenue, fareSystem, Muni]
  • A. Muni
    Muni was an Indian character actor known for his supporting roles in mid-20th-century cinema.
  • B. Muni chosen
    Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
  • C. Muni
    Muni is an honorific title traditionally used in Indian culture to denote a sage, seer, or revered spiritual teacher.
  • D. El Muni
    El Muni is the popular nickname of Club Social y Deportivo Municipal, a prominent Guatemalan football club with a rich domestic history and passionate fan base.
  • E. MUNI
    MUNI is the commonly used abbreviation for Masaryk University, a major public research university based in Brno, Czech Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e53dfc81909858cdad8b09c5fb completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.