Triple
T17120851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AZ1441 |
E415459
|
entity |
| Predicate | securityLevelOfPrison |
P19110
|
FINISHED |
| Object | maximum security |
—
|
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: maximum security | Statement: [AZ1441, securityLevelOfPrison, maximum security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityLevelOfPrison Context triple: [AZ1441, securityLevelOfPrison, maximum security]
-
A.
prisonType
chosen
Indicates the specific category or classification of a prison associated with an entity.
-
B.
hasInmateCustodyLevel
Indicates the security or supervision level at which an inmate is held in custody.
-
C.
isPenalInstitution
Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
-
D.
majorPenitentiary
Indicates that an entity serves as a primary or principal penitentiary (major prison) within a given system or jurisdiction.
-
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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e809ee888190a2cf69d59c0b9c20 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6d20808190a38bb32e2294bc48 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.