Triple
T7461341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emergency Economic Stabilization Act of 2008 |
E176255
|
entity |
| Predicate | laterTARPReduction |
P9925
|
FINISHED |
| Object | 475000000000 USD |
—
|
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: 475000000000 USD | Statement: [Emergency Economic Stabilization Act of 2008, laterTARPReduction, 475000000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterTARPReduction Context triple: [Emergency Economic Stabilization Act of 2008, laterTARPReduction, 475000000000 USD]
-
A.
notableBailout
Indicates that one entity has provided a bailout to another that is considered especially significant or noteworthy in scale, impact, or public attention.
-
B.
laterReducedABMSitesPerSideTo
Indicates that the number of ABM sites per side was subsequently decreased to a specified value.
-
C.
reduces
chosen
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
D.
reductionDate
Indicates the date on which a reduction (such as in amount, level, or status) takes effect or is officially recorded.
-
E.
reducedTopMarginalRateTo
Indicates that an entity has lowered the highest marginal rate (such as a top tax or interest rate) to a specified new level.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d6cf8c8190a31cac121d151d78 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:38 p.m.