Triple

T19943582
Position Surface form Disambiguated ID Type / Status
Subject Write Your Own insurance companies E479366 entity
Predicate policyCoverage P38809 FINISHED
Object building coverage 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: building coverage | Statement: [Write Your Own insurance companies, policyCoverage, building coverage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyCoverage
Context triple: [Write Your Own insurance companies, policyCoverage, building coverage]
  • A. policyName
    Indicates the specific name or title assigned to a policy associated with an entity.
  • B. guaranteeCoverage
    Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
  • C. providesCoverage
    Indicates that one entity supplies protection, insurance, or service coverage to another entity or for a specified risk or scope.
  • D. typeOfCoverage chosen
    Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
  • E. primaryCoverage
    Indicates that one entity serves as the main or principal source of coverage (such as insurance or protection) for 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a64b2788190a49c4ed40aa93b98 completed April 20, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69e537f47c508190853c4e009c6b5566 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:54 p.m.