Triple
T31123169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schedule A |
E793276
|
entity |
| Predicate | deductionType |
P171173
|
FINISHED |
| Object | below-the-line deduction |
—
|
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: below-the-line deduction | Statement: [Schedule A, deductionType, below-the-line deduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deductionType Context triple: [Schedule A, deductionType, below-the-line deduction]
-
A.
deductsFrom
Indicates that a specified amount, value, or resource is subtracted from another entity, reducing the latter accordingly.
-
B.
typeOfDiscrimination
Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
-
C.
denType
Indicates the specific kind or category of den associated with an entity.
-
D.
derivationType
Indicates the specific manner or process by which one entity is derived or obtained from another.
-
E.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
- 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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6e0b888190a417ae712c42db0d |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:05 p.m.