Triple
T29914247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Chief Financial Officer (OPM) |
E759749
|
entity |
| Predicate | typeOfFinancialOperations |
P819
|
FINISHED |
| Object | accounting |
—
|
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: accounting | Statement: [Office of the Chief Financial Officer (OPM), typeOfFinancialOperations, accounting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFinancialOperations Context triple: [Office of the Chief Financial Officer (OPM), typeOfFinancialOperations, accounting]
-
A.
transactionNature
Indicates the type or character of a transaction, specifying what kind of exchange or operation is taking place between the involved parties.
-
B.
typeOfOperation
chosen
Indicates the specific kind or category of operation being performed or referenced in a given context.
-
C.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
D.
typeOfDeposits
Indicates the specific kinds or categories of deposits associated with an account, entity, or transaction.
-
E.
financeScope
Indicates the financial coverage, limits, or extent to which a particular action, agreement, or responsibility applies.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
Created at: April 29, 2026, 6:12 p.m.