Triple
T2232865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRTC |
E49211
|
entity |
| Predicate | operatesUnderBrand |
P6092
|
FINISHED |
| Object | OmniRide Local |
E49210
|
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: OmniRide Local | Statement: [PRTC, operatesUnderBrand, OmniRide Local]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OmniRide Local Context triple: [PRTC, operatesUnderBrand, OmniRide Local]
-
A.
OmniRide bus service
chosen
OmniRide bus service is a public transit system in Northern Virginia that provides local and commuter bus routes connecting suburban communities with major employment and activity centers in the region.
-
B.
Meru Cabs
Meru Cabs is an Indian radio taxi and ride-hailing company that was one of the country’s early organized cab service providers.
-
C.
Uber Pool
Uber Pool is a ride-sharing service from Uber that matches multiple passengers heading in similar directions to share a car and split the fare.
-
D.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
E.
Metro Call-A-Ride
Metro Call-A-Ride is a paratransit service providing door-to-door transportation for riders with disabilities and mobility challenges in the St. Louis metropolitan area.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06d26bc8190a85ddb6312d2df08 |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b020e308190a6d5a50a8e808aba |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:47 p.m.