Triple
T21197080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah State Auditor’s Office |
E522352
|
entity |
| Predicate | typeOfAuditWork |
P9164
|
FINISHED |
| Object | financial audit |
—
|
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: financial audit | Statement: [Utah State Auditor’s Office, typeOfAuditWork, financial audit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAuditWork Context triple: [Utah State Auditor’s Office, typeOfAuditWork, financial audit]
-
A.
typeOfAudit
chosen
Indicates the specific category or kind of audit being performed or referenced in relation to an entity.
-
B.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
C.
typeOfJurisdictionalWork
Indicates the specific category or nature of legal or administrative authority exercised within a given jurisdiction.
-
D.
taskType
Indicates the specific category or kind of task an action or assignment belongs to within a broader set of tasks.
-
E.
typeOfVetting
Indicates the specific kind or category of vetting process that is applied to an entity or relationship.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333c9bac8190a203802a8b8e4143 |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:08 p.m.