Triple
T2259416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tax Reform Act of 1986 |
E50001
|
entity |
| Predicate | topIndividualRateBeforeReform |
P37500
|
FINISHED |
| Object | 50 percent |
—
|
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: 50 percent | Statement: [Tax Reform Act of 1986, topIndividualRateBeforeReform, 50 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topIndividualRateBeforeReform Context triple: [Tax Reform Act of 1986, topIndividualRateBeforeReform, 50 percent]
-
A.
inflationRateBefore
Indicates that one inflation rate occurred earlier in time than another inflation rate being considered.
-
B.
formerHighest
Indicates that an entity once held the highest rank, position, or status in a given context but no longer does.
-
C.
federalMatchRate
Indicates the proportion of costs or funding that is covered or matched by the federal government relative to non-federal contributions.
-
D.
rate
Indicates the numerical evaluation or assessment assigned by one entity to another based on perceived quality, performance, or value.
-
E.
inflationRateAfter
Indicates the rate of inflation that applies following a specified time, event, or reference point.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abc2e97eb0819084acb26cfa4e3946 |
completed | March 7, 2026, 6:17 a.m. |
Created at: March 4, 2026, 7:48 p.m.