Triple

T10978330
Position Surface form Disambiguated ID Type / Status
Subject FDIC insurance limit E259429 entity
Predicate ownershipCategory P7585 FINISHED
Object single accounts 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: single accounts | Statement: [FDIC insurance limit, ownershipCategory, single accounts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ownershipCategory
Context triple: [FDIC insurance limit, ownershipCategory, single accounts]
  • A. ownershipType chosen
    Indicates the specific nature or category of the ownership relationship that one entity holds over another.
  • B. ownershipCharacteristic
    Indicates that one entity possesses a particular quality, attribute, or condition specifically in its role as an owner of another entity.
  • C. ownedBy
    Indicates that one entity possesses legal or rightful ownership of another entity.
  • D. ownedIn
    Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, or scope.
  • E. ownershipRecord
    Indicates that there exists a documented relationship specifying which entity legally owns or possesses another entity, typically including details such as owner, owned item, and relevant terms or period of ownership.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f6a9448190b3932ee801ae0da9 completed April 9, 2026, 9:31 a.m.
PD Predicate disambiguation batch_69d72e9055908190b438f039574aaaaf completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:24 p.m.