Triple
T15890382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire Hathaway Specialty Insurance |
E385301
|
entity |
| Predicate | parentGroupIndustry |
P50889
|
FINISHED |
| Object | insurance and reinsurance |
—
|
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 and reinsurance | Statement: [Berkshire Hathaway Specialty Insurance, parentGroupIndustry, insurance and reinsurance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentGroupIndustry Context triple: [Berkshire Hathaway Specialty Insurance, parentGroupIndustry, insurance and reinsurance]
-
A.
hasParentCompanyIndustry
chosen
Indicates that an entity’s parent company operates in, or is associated with, a specified industry.
-
B.
isPartOfIndustrialGroup
Indicates that one entity belongs to, or is a constituent member of, a larger industrial group or corporate conglomerate.
-
C.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
D.
parentOrganizationType
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
-
E.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.