Triple
T19776092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital Metro |
E475005
|
entity |
| Predicate | paratransitBrand |
P5908
|
FINISHED |
| Object | MetroAccess |
—
|
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: MetroAccess | Statement: [Capital Metro, paratransitBrand, MetroAccess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MetroAccess Context triple: [Capital Metro, paratransitBrand, MetroAccess]
-
A.
MetroAccess
chosen
MetroAccess is a paratransit service providing door-to-door transportation for people with disabilities in the Washington, D.C. metropolitan area.
-
B.
MetroRide
MetroRide is a free downtown Denver circulator bus service providing frequent, short-distance connections within the city center.
-
C.
RTC Transit
RTC Transit is the public bus system serving the Las Vegas Valley in Nevada, providing transportation to major destinations including Allegiant Stadium.
-
D.
Metro Rail
Metro Rail is the light rail rapid transit system serving the Buffalo–Niagara region of New York.
-
E.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535fb114819089911ed3ba6565c0 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.