Triple
T7889074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Correctional Treatment Facility |
E183179
|
entity |
| Predicate | inmateStatus |
P13715
|
FINISHED |
| Object | pretrial detainees |
—
|
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: pretrial detainees | Statement: [Correctional Treatment Facility, inmateStatus, pretrial detainees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmateStatus Context triple: [Correctional Treatment Facility, inmateStatus, pretrial detainees]
-
A.
detaineeStatus
chosen
Indicates the current legal or custodial condition of a person being detained, such as whether they are in custody, released, or under a specific detention regime.
-
B.
criminalStatus
Indicates the legal condition of an entity with respect to criminal law, such as whether they are accused, convicted, or cleared of a crime.
-
C.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
D.
legalStatusBeforeRelease
Indicates the legal condition or classification an entity was subject to prior to its release.
-
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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ea8d1c81908ef99569e0cf00b7 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5 p.m.