Triple
T30140810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King County Water Taxi (West Seattle–Downtown Seattle) |
E766121
|
entity |
| Predicate | passengerVehiclesAllowed |
P71557
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [King County Water Taxi (West Seattle–Downtown Seattle), passengerVehiclesAllowed, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerVehiclesAllowed Context triple: [King County Water Taxi (West Seattle–Downtown Seattle), passengerVehiclesAllowed, no]
-
A.
usesPassengerCars
Indicates that an entity operates or employs passenger cars as part of its activities or services.
-
B.
bicyclesAllowed
Indicates that bicycles are permitted to use or access a particular route, area, or facility.
-
C.
heavyGoodsVehiclesAllowed
Indicates that vehicles classified as heavy goods vehicles are permitted to use or access a specified road, area, or facility.
-
D.
hasMotorVehicleAccess
chosen
Indicates that an entity is permitted to use or operate a motor vehicle within a specified area, context, or under certain conditions.
-
E.
roadPassType
Indicates the type or category of permission or authorization required to use or pass along a particular road or route.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 7:17 p.m.