Triple
T10980746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Credit Union Share Insurance Fund |
E259496
|
entity |
| Predicate | insurerType |
P48533
|
FINISHED |
| Object | mandatory insurer for federally chartered credit unions |
—
|
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: mandatory insurer for federally chartered credit unions | Statement: [National Credit Union Share Insurance Fund, insurerType, mandatory insurer for federally chartered credit unions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insurerType Context triple: [National Credit Union Share Insurance Fund, insurerType, mandatory insurer for federally chartered credit unions]
-
A.
typeOfInsurer
chosen
Indicates the specific category or classification of an insurer in relation to an insurance policy or coverage.
-
B.
insuranceType
Indicates the specific category or kind of insurance coverage associated with an entity or relationship.
-
C.
insuredInstitutionType
Indicates the type or category of institution that is covered under an insurance arrangement or policy.
-
D.
typeOfCoverage
Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
-
E.
liabilityType
Indicates the specific category or nature of liability associated with an entity, obligation, or financial exposure.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772e97cf88190a65dab3ec4e5f7f3 |
completed | April 9, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.