Triple
T9339753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form 1040-SR |
E224733
|
entity |
| Predicate | replacedFormType |
P29646
|
FINISHED |
| Object | 1040-EZ for senior taxpayers |
—
|
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: 1040-EZ for senior taxpayers | Statement: [Form 1040-SR, replacedFormType, 1040-EZ for senior taxpayers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedFormType Context triple: [Form 1040-SR, replacedFormType, 1040-EZ for senior taxpayers]
-
A.
replacedStructureType
Indicates that one structure type has been substituted or superseded by another structure type.
-
B.
exportForm
Indicates that one entity sends or transfers something (such as goods, data, or a document) out from its origin to another place, system, or jurisdiction in a specified format.
-
C.
replacedLongForm
Indicates that one entity has been superseded or substituted by another entity in a more extended or detailed form.
-
D.
replacedInReform
Indicates that one entity was substituted or superseded by another as part of a formal reform or restructuring process.
-
E.
replacedWith
chosen
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bae2e2481909effc2dc89a642c5 |
completed | April 1, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.