Triple
T20509639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCarran–Ferguson Act |
E503524
|
entity |
| Predicate | antitrustExemptionScope |
P103066
|
FINISHED |
| Object | insurance activities regulated by state law |
—
|
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: insurance activities regulated by state law | Statement: [McCarran–Ferguson Act, antitrustExemptionScope, insurance activities regulated by state law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antitrustExemptionScope Context triple: [McCarran–Ferguson Act, antitrustExemptionScope, insurance activities regulated by state law]
-
A.
concessionScope
Indicates that one situation or proposition holds true despite, or in contrast to, another that would normally be expected to prevent or contradict it.
-
B.
providesExemptionsTo
Indicates that one entity grants or offers exemptions, waivers, or exceptions from rules, obligations, or requirements to another entity.
-
C.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
-
D.
legalProtectionScope
chosen
Indicates the extent and boundaries of rights, interests, or activities that are covered and safeguarded under a particular legal protection.
-
E.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc9de788190882ce471966ef2b4 |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.