Triple
T12832078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walton County Jail |
E306812
|
entity |
| Predicate | detentionScope |
P50528
|
FINISHED |
| Object | short-term detention |
—
|
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 detention | Statement: [Walton County Jail, detentionScope, short-term detention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detentionScope Context triple: [Walton County Jail, detentionScope, short-term detention]
-
A.
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).
-
B.
detentionType
chosen
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
C.
detainedBy
Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
-
D.
detainsUnder
Indicates that one entity holds another in custody or confinement under a specific legal authority, provision, or condition.
-
E.
detainedGroup
Indicates that a group of entities is being held in custody or confinement, typically by an authority, restricting their freedom of movement.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:34 p.m.