Triple
T24115532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffalo County, Nebraska |
E597500
|
entity |
| Predicate | hasCountySheriffOffice |
P22466
|
FINISHED |
| Object | Buffalo County Sheriff’s Office |
—
|
NE NERFINISHED |
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: Buffalo County Sheriff’s Office | Statement: [Buffalo County, Nebraska, hasCountySheriffOffice, Buffalo County Sheriff’s Office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountySheriffOffice Context triple: [Buffalo County, Nebraska, hasCountySheriffOffice, Buffalo County Sheriff’s Office]
-
A.
hasCountySheriff
chosen
Indicates that a jurisdiction or area is served or overseen by a specific county sheriff.
-
B.
hasCountyAdministrator
Indicates that an entity is administered or overseen by a specific county administrator.
-
C.
policedCounty
Indicates that a law enforcement body has jurisdiction over, and is responsible for policing, a particular county.
-
D.
hasPoliceChief
Indicates that an entity has, is associated with, or is under the authority of a specific police chief.
-
E.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
- 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_69e288c74200819098ab875b592cb39f |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dedebb748190b8fe295d6dc0a9a7 |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:04 p.m.