Triple
T28816688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State University Police Department |
E727657
|
entity |
| Predicate | isSwornAgency |
P165621
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [California State University Police Department, isSwornAgency, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSwornAgency Context triple: [California State University Police Department, isSwornAgency, true]
-
A.
hasSwornStatus
Indicates that an entity is formally bound by an oath or sworn commitment, reflecting an official or pledged status in relation to another entity or role.
-
B.
hasSwornType
Indicates that one entity has formally pledged or committed to a specific type, category, or classification of something.
-
C.
designatesAgencyAs
Indicates that one entity formally assigns or recognizes another entity as its acting agency or representative body.
-
D.
isMunicipalAgency
Indicates that an entity functions as an agency or department of a municipal (city or local) government.
-
E.
agencySignedWith
Indicates that a formal agreement or contract has been established between an agency and another party.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:33 a.m.