Triple
T7729670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Rangers |
E175217
|
entity |
| Predicate | hasParentAgencyType |
P78833
|
FINISHED |
| Object | state police |
—
|
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: state police | Statement: [Texas Rangers, hasParentAgencyType, state police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentAgencyType Context triple: [Texas Rangers, hasParentAgencyType, state police]
-
A.
hasParentSocietyType
Indicates that an entity is associated with, or belongs to, a broader parent society categorized by a specific type.
-
B.
hasParentAccreditorType
Indicates that an accrediting entity is associated with, or classified under, a higher-level accreditor type that serves as its parent category.
-
C.
hasParentCompanyType
Indicates that an entity is associated with a parent company of a specified organizational or business type.
-
D.
hasSubOrganizationType
Indicates that an organization is associated with or classified under a specific type or category of sub-organization.
-
E.
hasParentUnit
Indicates that one unit is hierarchically contained within or belongs to another, higher-level unit.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:06 p.m.