Triple
T15668305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwannee County jail |
E377241
|
entity |
| Predicate | facilityScope |
P119678
|
FINISHED |
| Object | county-level 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: county-level detention | Statement: [Suwannee County jail, facilityScope, county-level detention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facilityScope Context triple: [Suwannee County jail, facilityScope, county-level detention]
-
A.
facility
Indicates that one entity is a building, installation, or physical infrastructure used to host, support, or enable the operations or activities of another entity.
-
B.
facilityId
Indicates a relationship that associates an entity with the unique identifier of the facility it belongs to or is located in.
-
C.
appliesToFacility
Indicates that something (such as a rule, policy, condition, or attribute) is relevant to, valid for, or in effect at a particular facility.
-
D.
restrictsFacility
Indicates that one entity imposes limitations or controls on the use, access, or operation of a particular facility.
-
E.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
- F. None of above. chosen
Provenance (4 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1151548190a14607e762686cb1 |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.