Triple
T3666536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwannee County Sheriff’s Office |
E77770
|
entity |
| Predicate | typeOfDetentionFacility |
P19110
|
FINISHED |
| Object | county jail |
—
|
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: county jail | Statement: [Suwannee County Sheriff’s Office, typeOfDetentionFacility, county jail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDetentionFacility Context triple: [Suwannee County Sheriff’s Office, typeOfDetentionFacility, county jail]
-
A.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
-
B.
prisonType
chosen
Indicates the specific category or classification of a prison associated with an entity.
-
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.
detainedBy
Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
-
E.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc40188988190b1b7ac9c8240a5ff |
completed | March 8, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.