Triple
T6778693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester Public Transit |
E155622
|
entity |
| Predicate | hasRouteNetwork |
P72756
|
FINISHED |
| Object | citywide bus routes |
—
|
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: citywide bus routes | Statement: [Rochester Public Transit, hasRouteNetwork, citywide bus routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRouteNetwork Context triple: [Rochester Public Transit, hasRouteNetwork, citywide bus routes]
-
A.
associatedWithRouteNetwork
Indicates a relationship where something is linked or connected to a specific route network.
-
B.
hasRouteMaps
Indicates that one entity possesses or provides route maps that describe paths, directions, or connections related to another entity.
-
C.
hasRouteFeature
Indicates that a route possesses or is associated with a specific characteristic, attribute, or feature.
-
D.
hasRoute
Indicates that there exists a path or connection enabling travel or communication from one entity to another.
-
E.
routeNetworkType
Indicates the specific kind of transportation or communication network to which a route belongs (e.g., road, rail, or air).
- F. None of above. chosen
Provenance (4 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2689d408190bc2c1ce4ae9c1b13 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d182213c819086fcbbfd3d64d80b |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:14 p.m.