Triple
T31183671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form 1040-EZ |
E794970
|
entity |
| Predicate | allowedIncomeTypes |
P24934
|
FINISHED |
| Object | wages |
—
|
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: wages | Statement: [Form 1040-EZ, allowedIncomeTypes, wages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowedIncomeTypes Context triple: [Form 1040-EZ, allowedIncomeTypes, wages]
-
A.
allowancesType
Indicates the specific category or kind of allowances associated with an entity or transaction.
-
B.
incomeType
chosen
Indicates the category or source classification of an entity’s income within a given context.
-
C.
allowsBoarderIncome
Indicates that an entity permits income to be earned or received from taking in boarders (people who pay to live in a room or part of a property).
-
D.
usesForIncome
Indicates that one entity derives income or financial gain from using another entity.
-
E.
taxationApprovedFor
Indicates that an authority has formally approved the imposition or application of a specific tax on a particular entity or activity.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 29, 2026, 9:08 p.m.