Triple
T20574279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington State Route 543 |
E505172
|
entity |
| Predicate | truckRoute |
P3034
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Washington State Route 543, truckRoute, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: truckRoute Context triple: [Washington State Route 543, truckRoute, yes]
-
A.
tradRoutes
Indicates a relationship where one location serves as a trade route to or from another location, facilitating the movement of goods or commerce between them.
-
B.
tramRoutes
Indicates that there exists a tram line or service that operates along a route connecting the related locations.
-
C.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
D.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
E.
transportCorridor
chosen
Indicates a route or pathway used to move people, goods, or resources between locations.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a9087af88190a4610ecb29f637ca |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.