Triple

T12255877
Position Surface form Disambiguated ID Type / Status
Subject Judah & 28th Avenue E292098 entity
Predicate operator P179 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: [Judah & 28th Avenue, operator, Muni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muni
Context triple: [Judah & 28th Avenue, operator, 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 (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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a921b8c8190b3f899b03575b194 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.