Triple
T21651136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Separate Prison |
E534339
|
entity |
| Predicate | penalSystem |
P127588
|
FINISHED |
| Object | separate system |
—
|
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: separate system | Statement: [Separate Prison, penalSystem, separate system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penalSystem Context triple: [Separate Prison, penalSystem, separate system]
-
A.
partOfPenalSystem
chosen
Indicates that something belongs to, is included within, or functions as a component of a jurisdiction’s penal or criminal justice system.
-
B.
isPenalInstitution
Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
-
C.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
D.
countryPrisonSystem
Indicates a relationship where a country has, administers, or is associated with a particular prison system.
-
E.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5914a3f88190b797188eba34edd8 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.