Triple
T16982796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church Street station |
E411986
|
entity |
| Predicate | fareSystem |
P395
|
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: [Church Street station, fareSystem, Muni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muni Context triple: [Church Street station, 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 (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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d188ede48190baead48aac84c78d |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0d437c81908f003a10b798998a |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.