Triple
T28326549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tax-Deferred Annuity Program |
E717423
|
entity |
| Predicate | taxAdvantage |
P24100
|
FINISHED |
| Object | tax deferral on contributions and earnings |
—
|
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: tax deferral on contributions and earnings | Statement: [Tax-Deferred Annuity Program, taxAdvantage, tax deferral on contributions and earnings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxAdvantage Context triple: [Tax-Deferred Annuity Program, taxAdvantage, tax deferral on contributions and earnings]
-
A.
taxCharacteristic
Indicates the specific tax-related property, status, or classification that applies to an entity or transaction.
-
B.
taxDeductible
Indicates that an expense, contribution, or item is eligible to be subtracted from taxable income under applicable tax rules.
-
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.
taxObjective
Indicates the purpose or goal related to taxation that an entity aims to achieve.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6492f24008190a122ed65e12feffa |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:28 a.m.