Triple
T16992413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta City Detention Center |
E412224
|
entity |
| Predicate | detaineeType |
P102118
|
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: [Atlanta City Detention Center, detaineeType, pretrial detainees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detaineeType Context triple: [Atlanta City Detention Center, detaineeType, pretrial detainees]
-
A.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
B.
prisonerType
chosen
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
C.
detaineeStatus
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.
-
D.
detentionCondition
Indicates the specific terms, circumstances, or requirements under which a person is held in detention.
-
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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d283d2388190a78bf8d179e83fdc |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.