Triple
T33745548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Security Prison 21 |
E864687
|
entity |
| Predicate | prisonerProfile |
P82437
|
FINISHED |
| Object | intellectuals |
—
|
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: intellectuals | Statement: [Security Prison 21, prisonerProfile, intellectuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonerProfile Context triple: [Security Prison 21, prisonerProfile, intellectuals]
-
A.
detaineeProfile
chosen
Indicates that an entity serves as a profile or record containing identifying and contextual information about a detainee.
-
B.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
C.
prisonerName
Indicates that a particular name is the official or recorded name of a given prisoner.
-
D.
prisonRole
Indicates a role or function that an entity holds within the context or system of a prison.
-
E.
prisonerOf
Indicates that one entity is held in custody or confinement by another entity, typically under legal or authoritative control.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb5e47808190afb4436a81c41cfc |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96ea0c08190902a3d0e1f263e8c |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.