Triple
T7404688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Parks Police |
E170839
|
entity |
| Predicate | officersTrainedIn |
P40765
|
FINISHED |
| Object | criminal law enforcement |
—
|
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 law enforcement | Statement: [State Parks Police, officersTrainedIn, criminal law enforcement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officersTrainedIn Context triple: [State Parks Police, officersTrainedIn, criminal law enforcement]
-
A.
providesTrainingFor
chosen
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
B.
officersAre
Indicates that certain individuals hold the role or position of officers within a specified group, organization, or context.
-
C.
lawEnforcementCertification
Indicates that an entity has been officially certified or authorized to perform law enforcement duties.
-
D.
officersServeAs
Indicates that certain individuals hold and perform the role or duties of officers within a particular organization or context.
-
E.
officersCalled
Indicates that law enforcement officers were summoned or notified to respond to a situation or incident.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f271f1d481909a46d50b13b51a62 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.