Triple
T8103420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Slovak Society of the USA |
E189167
|
entity |
| Predicate | typeOfInsuranceProvider |
P48533
|
FINISHED |
| Object | member-owned fraternal insurer |
—
|
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: member-owned fraternal insurer | Statement: [National Slovak Society of the USA, typeOfInsuranceProvider, member-owned fraternal insurer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfInsuranceProvider Context triple: [National Slovak Society of the USA, typeOfInsuranceProvider, member-owned fraternal insurer]
-
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.
typeOfCoverage
Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
-
D.
healthcareType
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
-
E.
typeOfDiscriminationCovered
Indicates that a particular kind or category of discriminatory behavior is included within the scope of protections, rules, or analysis.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42bf1cb0819099dda4f050f8e95e |
completed | March 31, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69cb04a2ed1c8190b73562321ad688bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:31 p.m.