Triple
T9143308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas peace officers |
E219384
|
entity |
| Predicate | licensingRequirement |
P9144
|
FINISHED |
| Object | TCOLE licensing exam |
—
|
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: TCOLE licensing exam | Statement: [Texas peace officers, licensingRequirement, TCOLE licensing exam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licensingRequirement Context triple: [Texas peace officers, licensingRequirement, TCOLE licensing exam]
-
A.
licensingRestriction
Indicates that there is a constraint or condition imposed on the use, distribution, or modification of something under a specific license.
-
B.
requiresLicenseOf
Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
-
C.
hasLicensing
Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
-
D.
requiresLicenseForPractice
chosen
Indicates that engaging in the specified professional practice is legally contingent upon holding a valid license.
-
E.
legalLicenseIn
Indicates that an entity holds a valid legal license or authorization to operate, practice, or conduct a specified activity within a particular jurisdiction or region.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca91548248190ae0b63edebf3d674 |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:19 p.m.