Triple
T29966816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Personal Income Taxation |
E761205
|
entity |
| Predicate | regardsIncomeAs |
P26019
|
FINISHED |
| Object | accretion to economic power |
—
|
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: accretion to economic power | Statement: [Personal Income Taxation, regardsIncomeAs, accretion to economic power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regardsIncomeAs Context triple: [Personal Income Taxation, regardsIncomeAs, accretion to economic power]
-
A.
usesForIncome
Indicates that one entity derives income or financial gain from using another entity.
-
B.
incomeType
Indicates the category or source classification of an entity’s income within a given context.
-
C.
incomeTreatment
chosen
Indicates a relationship where an entity receives, is subject to, or is affected by a particular income-related treatment, policy, or classification.
-
D.
income
Indicates the amount of money an entity receives, typically over a specified period, from work, investments, or other sources.
-
E.
incomeMeasure
Indicates a relationship where one entity serves as a measure or metric of another entity’s income.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6786a5c70819085a5d00be58d67cb |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:30 p.m.