Triple
T12992871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayette County jail |
E321958
|
entity |
| Predicate | detentionLevel |
P105493
|
FINISHED |
| Object | short-term |
—
|
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: short-term | Statement: [Fayette County jail, detentionLevel, short-term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detentionLevel Context triple: [Fayette County jail, detentionLevel, short-term]
-
A.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
B.
detentionCondition
Indicates the specific terms, circumstances, or requirements under which a person is held in detention.
-
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.
hasInmateCustodyLevel
chosen
Indicates the security or supervision level at which an inmate is held in custody.
-
E.
detainedFor
Indicates that one entity is being held in custody or confinement because of, or as a consequence of, another entity (such as a reason, charge, or event).
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:44 p.m.