Triple
T34660593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazzard County, Georgia |
E890095
|
entity |
| Predicate | hasFictionalSheriffOffice |
P95623
|
FINISHED |
| Object | Hazzard County Sheriff’s Department |
—
|
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: Hazzard County Sheriff’s Department | Statement: [Hazzard County, Georgia, hasFictionalSheriffOffice, Hazzard County Sheriff’s Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalSheriffOffice Context triple: [Hazzard County, Georgia, hasFictionalSheriffOffice, Hazzard County Sheriff’s Department]
-
A.
hasFictionalPoliceDepartment
chosen
Indicates that an entity is associated with or features a police department that exists only within a fictional or imaginary context.
-
B.
hasCountySheriff
Indicates that a jurisdiction or area is served or overseen by a specific county sheriff.
-
C.
hasFictionalOffice
Indicates that one entity maintains or is associated with an office or workplace that exists only in a fictional or imaginary context.
-
D.
hasFictionalCountySeatRole
Indicates that an entity serves in the role of county seat within a fictional or imaginary administrative setting.
-
E.
viewOfSheriffOffice
Indicates that an entity provides a view of, or looks toward, the sheriff’s office.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
Created at: May 1, 2026, 2:04 a.m.