Triple
T2025557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red River County Sheriff’s Office |
E44398
|
entity |
| Predicate | officeTypeOfHead |
P18993
|
FINISHED |
| Object | elected sheriff |
—
|
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: elected sheriff | Statement: [Red River County Sheriff’s Office, officeTypeOfHead, elected sheriff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeTypeOfHead Context triple: [Red River County Sheriff’s Office, officeTypeOfHead, elected sheriff]
-
A.
hasOfficeType
Indicates that an entity’s office is classified as a specific type or category of office.
-
B.
typeOfOffice
chosen
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
C.
headOfOffice
Indicates that one entity serves as the chief or leading authority in charge of a particular office or organizational unit.
-
D.
officeHolderClass
Indicates that a given role or position is held by members belonging to a specified class or category of office holders.
-
E.
isHeadOf
Indicates that one entity holds the leading or principal authority position over another entity, such as an organization, group, or 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8f3faa08190a48ae1355d6e009f |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.