Triple
T28326519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tax-Deferred Annuity Program |
E717423
|
entity |
| Predicate | contributionTaxTreatment |
P160526
|
FINISHED |
| Object | pre-tax |
—
|
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: pre-tax | Statement: [Tax-Deferred Annuity Program, contributionTaxTreatment, pre-tax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributionTaxTreatment Context triple: [Tax-Deferred Annuity Program, contributionTaxTreatment, pre-tax]
-
A.
taxationMethod
Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
-
B.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
C.
taxCharacteristic
chosen
Indicates the specific tax-related property, status, or classification that applies to an entity or transaction.
-
D.
taxTreatmentOfEarnings
Indicates how earnings are classified and handled for tax purposes within a given financial or legal context.
-
E.
typeOfTaxCredit
Indicates that one entity is a specific kind or category of tax credit in relation to another entity.
- 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_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 28, 2026, 12:28 a.m.