Triple
T7846095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form 1040-NR filing |
E181925
|
entity |
| Predicate | calculates |
P90
|
FINISHED |
| Object | tax on effectively connected income using graduated rates |
—
|
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 on effectively connected income using graduated rates | Statement: [Form 1040-NR filing, calculates, tax on effectively connected income using graduated rates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calculates Context triple: [Form 1040-NR filing, calculates, tax on effectively connected income using graduated rates]
-
A.
calculationType
Indicates the specific method, formula, or approach used to perform a calculation in the described relationship.
-
B.
computes
chosen
Indicates that one entity performs a calculation or processing operation to produce a result from given data or inputs.
-
C.
calculationProvider
Indicates that one entity serves as the source or performer of a calculation for another entity or process.
-
D.
formulaUsed
Indicates that a particular formula is employed or applied in performing a calculation, derivation, or reasoning step.
-
E.
quantifies
Indicates that one entity expresses or specifies the amount, number, or degree of 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163f5da08190b7340ef4cc01cd19 |
completed | March 31, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:49 p.m.