Triple
T32271603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NC Quick Pass |
E824426
|
entity |
| Predicate | identifiesVehicleBy |
P173473
|
FINISHED |
| Object | transponder ID |
—
|
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: transponder ID | Statement: [NC Quick Pass, identifiesVehicleBy, transponder ID]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identifiesVehicleBy Context triple: [NC Quick Pass, identifiesVehicleBy, transponder ID]
-
A.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
B.
vehicleCode
chosen
Indicates a relationship where a specific code or identifier is assigned to or associated with a vehicle.
-
C.
intendedVehicle
Indicates that one entity is the vehicle that another entity plans or is meant to use.
-
D.
identifiesVehiclesRegisteredIn
Indicates that an entity specifies or determines which vehicles are registered within a particular scope or authority.
-
E.
carModel
Indicates the specific model designation of a car within a particular make or brand.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 12:42 a.m.