Triple
T9652867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Safety Office (Texas Governor's Office) |
E233377
|
entity |
| Predicate | typeOfGrantManaged |
P89440
|
FINISHED |
| Object | criminal justice grants |
—
|
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: criminal justice grants | Statement: [Public Safety Office (Texas Governor's Office), typeOfGrantManaged, criminal justice grants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGrantManaged Context triple: [Public Safety Office (Texas Governor's Office), typeOfGrantManaged, criminal justice grants]
-
A.
typeOfGrant
Indicates the specific category or kind of grant associated with an entity.
-
B.
granteeType
Indicates the classification or category of the entity that receives a grant or is granted a right, benefit, or permission.
-
C.
grantType
Indicates the specific authorization or credential flow used to obtain access or permissions in a grant-based process.
-
D.
identifierTypeManaged
Indicates that one entity is responsible for administering or controlling the type or scheme of identifiers used for another entity.
-
E.
grantedRightsType
Indicates the specific category or nature of rights that have been granted in a given permission or authorization relationship.
- F. None of above. chosen
Provenance (4 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb26b748190bc32e2003829b0ec |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:13 p.m.