Triple
T8654303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jangipur |
E205375
|
entity |
| Predicate | vehicleRegistrationCodeState |
P76021
|
FINISHED |
| Object | WB |
—
|
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: WB | Statement: [Jangipur, vehicleRegistrationCodeState, WB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleRegistrationCodeState Context triple: [Jangipur, vehicleRegistrationCodeState, WB]
-
A.
vehicleRegistrationCode
Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
-
B.
stateOfLicense
Indicates the jurisdiction or state that has issued or governs the relevant license.
-
C.
associatedWithStateCode
Indicates that an entity has a connection or linkage to a particular state identified by its state code.
-
D.
licensePlateOrigin
chosen
Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
-
E.
provinceName
Indicates that a province entity is associated with its specific name as a textual label.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48432568819093b9a867b4f62b78 |
completed | March 31, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:29 p.m.