Triple
T419527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regulation A |
E8069
|
entity |
| Predicate | maxOfferingAmountTier1 |
P9530
|
FINISHED |
| Object | $20 million in a 12-month period |
—
|
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: $20 million in a 12-month period | Statement: [Regulation A, maxOfferingAmountTier1, $20 million in a 12-month period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxOfferingAmountTier1 Context triple: [Regulation A, maxOfferingAmountTier1, $20 million in a 12-month period]
-
A.
firstOffered
Indicates that one entity was the earliest or initial provider or proposer of something to another entity or context.
-
B.
maximumService
Indicates that an entity provides the highest allowable or achievable level of service within a given context or system.
-
C.
setsMaximum
chosen
Indicates that one entity establishes an upper limit or maximum allowable value for another entity or quantity.
-
D.
automaticBidBasis
Indicates that one entity’s bid amount is determined automatically based on a specified rule, condition, or reference value relative to another entity.
-
E.
maxCurrent
Indicates the maximum electric current that is allowed to flow through or be drawn by an entity under specified conditions.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd3b948819097d96c73d0a0f699 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.