Triple
T32883175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Transit Corporation |
E841122
|
entity |
| Predicate | operatedBusRoutes |
P70721
|
FINISHED |
| Object | local bus routes in King County |
—
|
LITERAL 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: local bus routes in King County | Statement: [Metropolitan Transit Corporation, operatedBusRoutes, local bus routes in King County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedBusRoutes Context triple: [Metropolitan Transit Corporation, operatedBusRoutes, local bus routes in King County]
-
A.
operatedRoutes
chosen
Indicates that an agent (such as a company or organization) runs or manages specific routes, typically providing services along those paths.
-
B.
operatesInterurbanBusServices
Indicates that an entity runs or manages bus transportation services operating between different towns or cities within a region.
-
C.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
D.
busSystemName
Indicates that a bus system is identified or referred to by a specific name.
-
E.
servedByBusCorridor
Indicates that a location or route is provided public transport service by a specific bus corridor.
- F. None of above.
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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0031ed5d708190ab93516ad081ada6 |
completed | May 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_6a0031b5dbd081908eb0f4dbb8a0eac3 |
completed | May 10, 2026, 7:20 a.m. |
Created at: May 1, 2026, 1:18 a.m.