Triple
T23255184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coyote Ridge Corrections Center |
E581847
|
entity |
| Predicate | inmateSecurityLevel |
P105493
|
FINISHED |
| Object | medium |
—
|
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: medium | Statement: [Coyote Ridge Corrections Center, inmateSecurityLevel, medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmateSecurityLevel Context triple: [Coyote Ridge Corrections Center, inmateSecurityLevel, medium]
-
A.
hasInmateCustodyLevel
chosen
Indicates the security or supervision level at which an inmate is held in custody.
-
B.
securityForInmates
Indicates the provision or management of protective measures and safeguards specifically intended for inmates.
-
C.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
D.
inmateAgeGroup
Indicates the age-range category to which an inmate belongs.
-
E.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193fadac881908579b5729718ee41 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.