Triple
T5610166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanpool |
E147333
|
entity |
| Predicate | vehicleOwnership |
P7735
|
FINISHED |
| Object | vans owned by King County Metro |
—
|
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: vans owned by King County Metro | Statement: [Vanpool, vehicleOwnership, vans owned by King County Metro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleOwnership Context triple: [Vanpool, vehicleOwnership, vans owned by King County Metro]
-
A.
hasVehicle
chosen
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
B.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
C.
hasVehicleCollection
Indicates that an entity possesses or maintains a set or collection of vehicles.
-
D.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
E.
hasPrimaryVehicularAccessTo
Indicates that one location or entity serves as the main route or means by which vehicles can reach or enter another location or entity.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0211dfc88819097b6d4254a61f65a |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.