Triple
T18090624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Correctional Institution, Forrest City |
E432954
|
entity |
| Predicate | facilityStatus |
P5870
|
FINISHED |
| Object | operational |
—
|
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: operational | Statement: [Federal Correctional Institution, Forrest City, facilityStatus, operational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facilityStatus Context triple: [Federal Correctional Institution, Forrest City, facilityStatus, operational]
-
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.
operatingStatus
chosen
Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
-
C.
hasFacilityStatusFor
Indicates that an entity has a particular operational or condition status assigned to a specific facility.
-
D.
facilityId
Indicates a relationship that associates an entity with the unique identifier of the facility it belongs to or is located in.
-
E.
userFacility
Indicates a relationship where a user is associated with, has access to, or operates within a particular 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd17ba98819085a15e8593d98259 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.