Triple

T10511822
Position Surface form Disambiguated ID Type / Status
Subject Colonial Life E247932 entity
Predicate offersCoverageType P42076 FINISHED
Object individual policies through the workplace 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: individual policies through the workplace | Statement: [Colonial Life, offersCoverageType, individual policies through the workplace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersCoverageType
Context triple: [Colonial Life, offersCoverageType, individual policies through the workplace]
  • A. typeOfCoverage
    Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
  • B. providesCoverage chosen
    Indicates that one entity supplies protection, insurance, or service coverage to another entity or for a specified risk or scope.
  • C. guaranteeCoverage
    Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
  • D. awardedForCoverageType
    Indicates that something (such as an award, benefit, or recognition) is granted specifically in relation to a particular type or category of coverage.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b5fcb8819087a23a2b26aecd70 completed April 7, 2026, 1:42 p.m.
PD Predicate disambiguation batch_69d4fb919ea08190bcc1193e2014d437 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:27 p.m.