Triple
T16533264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Vehicle Administration |
E401619
|
entity |
| Predicate | usesIdentificationNumberSystem |
P1285
|
FINISHED |
| Object | driver license numbers |
—
|
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: driver license numbers | Statement: [Maryland Vehicle Administration, usesIdentificationNumberSystem, driver license numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesIdentificationNumberSystem Context triple: [Maryland Vehicle Administration, usesIdentificationNumberSystem, driver license numbers]
-
A.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
B.
hasIdentifierSystem
chosen
Indicates that an entity is associated with a particular system or scheme used to assign and manage its identifiers.
-
C.
ianaIdentifierType
Indicates that one entity specifies the type or category of an IANA (Internet Assigned Numbers Authority) identifier associated with another entity.
-
D.
identificationType
Indicates the specific kind or category of identification associated with an entity or relationship.
-
E.
identifiedUsing
Indicates that one entity was recognized, distinguished, or determined by means of a specified method, tool, or identifier.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.