Triple
T2436010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earned Income Tax Credit |
E52960
|
entity |
| Predicate | effectOnTaxes |
P39307
|
FINISHED |
| Object | reduces federal income tax liability |
—
|
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: reduces federal income tax liability | Statement: [Earned Income Tax Credit, effectOnTaxes, reduces federal income tax liability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnTaxes Context triple: [Earned Income Tax Credit, effectOnTaxes, reduces federal income tax liability]
-
A.
taxOn
Indicates that one entity imposes or applies a tax on another entity or item.
-
B.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
C.
positionOnTaxes
Indicates a stance or viewpoint an entity holds regarding tax policies or taxation issues.
-
D.
taxationMethod
Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
-
E.
usedInTaxPayments
Indicates that something is employed or applied as part of making or fulfilling tax payments.
- F. None of above. chosen
Provenance (4 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
| PDg | Predicate description generation | batch_69abcebe7dd08190b197a2a0e78787e3 |
completed | March 7, 2026, 7:07 a.m. |
Created at: March 6, 2026, 9:43 p.m.