Triple
T5607887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Rosa CityBus |
E147276
|
entity |
| Predicate | hasRouteStructure |
P32810
|
FINISHED |
| Object | radial routes centered on downtown Santa Rosa |
—
|
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: radial routes centered on downtown Santa Rosa | Statement: [Santa Rosa CityBus, hasRouteStructure, radial routes centered on downtown Santa Rosa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRouteStructure Context triple: [Santa Rosa CityBus, hasRouteStructure, radial routes centered on downtown Santa Rosa]
-
A.
hasRoute
Indicates that there exists a path or connection enabling travel or communication from one entity to another.
-
B.
hasMajorStructureOnRoute
Indicates that a significant physical structure is located along or directly associated with a particular route.
-
C.
hasRouteType
Indicates that there is a specific kind or category of route associated with an entity (e.g., road, rail, bus line).
-
D.
routeStructure
chosen
Indicates the structural or organizational relationship between a route and its constituent segments, paths, or connections.
-
E.
hasRouteFeature
Indicates that a route possesses or is associated with a specific characteristic, attribute, or feature.
- 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_69c020fd1b2c81908da154f7e11b90d8 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.