Triple
T6481532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Licensing Division (Maryland State Police) |
E146403
|
entity |
| Predicate | typeOfLicenseHandled |
P19269
|
FINISHED |
| Object | firearms licenses |
—
|
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: firearms licenses | Statement: [Licensing Division (Maryland State Police), typeOfLicenseHandled, firearms licenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLicenseHandled Context triple: [Licensing Division (Maryland State Police), typeOfLicenseHandled, firearms licenses]
-
A.
typeOfLicense
chosen
Indicates the specific kind or category of license associated with an entity.
-
B.
hasLicense
Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
-
C.
stateOfLicense
Indicates the jurisdiction or state that has issued or governs the relevant license.
-
D.
combinedLicenseIssuedBy
Indicates that a combined license (covering multiple permissions or activities) is formally granted or issued by a specific authority or issuer.
-
E.
nrcLicenseNumber
Indicates that an entity is associated with a specific license number issued by the U.S. Nuclear Regulatory Commission (NRC).
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6b2e9881908b715573e7ba7458 |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.