Triple
T24913091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adelanto Detention Facility |
E623900
|
entity |
| Predicate | detaineePopulationType |
P150003
|
FINISHED |
| Object | non-citizens |
—
|
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: non-citizens | Statement: [Adelanto Detention Facility, detaineePopulationType, non-citizens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detaineePopulationType Context triple: [Adelanto Detention Facility, detaineePopulationType, non-citizens]
-
A.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
B.
detainedPopulation
chosen
Indicates that a population of individuals is being held in custody or confinement, typically by legal or governmental authority.
-
C.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
D.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
E.
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.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:28 a.m.