Triple
T20365403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civic Center/UN Plaza station |
E496893
|
entity |
| Predicate | hasConnection |
P8776
|
FINISHED |
| Object | Muni bus |
—
|
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 bus | Statement: [Civic Center/UN Plaza station, hasConnection, Muni bus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muni bus Context triple: [Civic Center/UN Plaza station, hasConnection, Muni bus]
-
A.
Muni bus network
chosen
The Muni bus network is San Francisco’s citywide public transit system of buses and trolleybuses that provides comprehensive surface transportation across the city.
-
B.
Commerce Municipal Bus
Commerce Municipal Bus is the city-operated public bus system serving residents, workers, and visitors in Commerce, California.
-
C.
Metro Bus
Metro Bus is the primary public bus service network for Los Angeles County, providing extensive local and rapid transit across the region.
-
D.
Metro Bus
Metro Bus is the public bus transit system serving the Buffalo–Niagara region of Western New York.
-
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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67870f4448190ab63cbe03542de21 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.