Triple
T36977558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxpayer Relief Act of 1997 |
E914740
|
entity |
| Predicate | modifiedProvision |
P43320
|
FINISHED |
| Object | Traditional IRA rules |
—
|
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: Traditional IRA rules | Statement: [Taxpayer Relief Act of 1997, modifiedProvision, Traditional IRA rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modifiedProvision Context triple: [Taxpayer Relief Act of 1997, modifiedProvision, Traditional IRA rules]
-
A.
modificationBy
Indicates that one entity has been altered, changed, or adjusted as a result of an action performed by another entity.
-
B.
modificationRequires
Indicates that performing a modification on one entity is contingent upon satisfying a prerequisite condition or dependency involving another entity.
-
C.
modificationProgram
Indicates that an entity is subject to, or associated with, a program or process that alters, updates, or changes its properties or state.
-
D.
modification
chosen
Indicates a change made to an existing entity, altering its properties, structure, or state from a prior version.
-
E.
laterModification
Indicates that one entity is a modification or revision that occurs after another in time.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.