Triple
T10301281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky Route 1500 |
E241634
|
entity |
| Predicate | servesLocalTraffic |
P92991
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kentucky Route 1500, servesLocalTraffic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesLocalTraffic Context triple: [Kentucky Route 1500, servesLocalTraffic, true]
-
A.
servesSeasonalTraffic
Indicates that an entity provides service only during specific seasons or periods of the year, rather than year-round.
-
B.
supportsTraffic
Indicates that one entity is capable of handling, carrying, or accommodating the flow or volume of traffic associated with another entity.
-
C.
servesPilgrimTrafficTo
Indicates that a location or entity functions as a route, hub, or provider facilitating the movement or flow of pilgrim traffic to a specified destination.
-
D.
handlesSignificantShareOfTrafficAt
Indicates that an entity is responsible for managing or processing a substantial proportion of the traffic volume at a specified location or system.
-
E.
regulatesTrafficBetween
Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2eefe8881908a672c4dca7657ca |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d29d7cf08190acd70cee634c5cdb |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:44 a.m.