Triple
T22416217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Life Insurance Directive |
E554128
|
entity |
| Predicate | typeOfInsuranceCovered |
P12185
|
FINISHED |
| Object | life assurance |
—
|
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: life assurance | Statement: [Second Life Insurance Directive, typeOfInsuranceCovered, life assurance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfInsuranceCovered Context triple: [Second Life Insurance Directive, typeOfInsuranceCovered, life assurance]
-
A.
typeOfCoverage
Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
-
B.
typeOfHeritageCovered
Indicates that something specifies the category or kind of heritage (e.g., cultural, natural, mixed) that is included or protected in a given context.
-
C.
typeOfDiscriminationCovered
Indicates that a particular kind or category of discriminatory behavior is included within the scope of protections, rules, or analysis.
-
D.
insuranceType
chosen
Indicates the specific category or kind of insurance coverage associated with an entity or relationship.
-
E.
typicallyCovers
Indicates that one entity is the kind of thing that usually or normally includes, addresses, or encompasses another entity.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15946cd2c8190bdec0348de6ebcb9 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.