Triple
T11259586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child Tax Credit |
E266525
|
entity |
| Predicate | effectOnTax |
P39307
|
FINISHED |
| Object | reduces tax liability dollar-for-dollar up to credit amount |
—
|
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 tax liability dollar-for-dollar up to credit amount | Statement: [Child Tax Credit, effectOnTax, reduces tax liability dollar-for-dollar up to credit amount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnTax Context triple: [Child Tax Credit, effectOnTax, reduces tax liability dollar-for-dollar up to credit amount]
-
A.
effectOnTaxes
chosen
Indicates how one entity or action changes, influences, or determines the amount, structure, or treatment of taxes for another entity or situation.
-
B.
taxOn
Indicates that one entity imposes or applies a tax on another entity or item.
-
C.
effectOnTotalInterest
Indicates how a given factor or action changes the overall amount of interest accrued or owed.
-
D.
taxRate
Indicates the percentage or proportion of a taxable amount that is imposed as tax in a given context.
-
E.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e936cb048190b4d6fb2851ef8932 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.