Triple
T36542311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accident Compensation Corporation |
E901053
|
entity |
| Predicate | hasCoverageModel |
—
|
GENERATED |
| Object | no-fault scheme |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverageModel Context triple: [Accident Compensation Corporation, hasCoverageModel, no-fault scheme]
-
A.
hasCoverage
Indicates that one entity provides insurance or protection coverage for another entity or subject.
-
B.
hasCoverageFocus
Indicates that one entity’s coverage, attention, or analysis is specifically focused on or directed toward another entity.
-
C.
providesCoverage
Indicates that one entity supplies protection, insurance, or service coverage to another entity or for a specified risk or scope.
-
D.
hasKeyCoverage
Indicates that one entity’s key or set of keys provides coverage, access, or applicability over another entity or domain.
-
E.
hasBeenCoveredBy
Indicates that something has received coverage or treatment by another entity, such as being reported on, discussed, or addressed.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.