Triple
T10799641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 501(c)(3) |
E254804
|
entity |
| Predicate | taxBenefit |
P24100
|
FINISHED |
| Object | federal income tax exemption for qualifying organizations |
—
|
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: federal income tax exemption for qualifying organizations | Statement: [501(c)(3), taxBenefit, federal income tax exemption for qualifying organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxBenefit Context triple: [501(c)(3), taxBenefit, federal income tax exemption for qualifying organizations]
-
A.
taxDeductible
Indicates that an expense, contribution, or item is eligible to be subtracted from taxable income under applicable tax rules.
-
B.
taxpayerBenefitForm
Indicates that there is a specific form documenting or enabling a benefit granted to a taxpayer.
-
C.
benefitTaxStatus
chosen
Indicates that an entity’s tax-related status or classification provides a financial or regulatory benefit in the context of the relationship.
-
D.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
E.
educationTaxBenefit
Indicates a relationship where an entity receives or is associated with a tax advantage, deduction, or credit specifically tied to education-related expenses or activities.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733366c408190bfd3b57be5ef2440 |
completed | April 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.