Triple

T4894178
Position Surface form Disambiguated ID Type / Status
Subject U.S. credit unions E109632 entity
Predicate profitDistributionMethod P49264 FINISHED
Object member dividends 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: member dividends | Statement: [U.S. credit unions, profitDistributionMethod, member dividends]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: profitDistributionMethod
Context triple: [U.S. credit unions, profitDistributionMethod, member dividends]
  • A. distributionMethod
    Indicates the means or channel through which something (such as a product, resource, or information) is delivered or made available to recipients.
  • B. distributionBy chosen
    Indicates how something is allocated, arranged, or spread according to a specified criterion or grouping.
  • C. parallelDivision
    Indicates that one entity is divided or partitioned in a way that runs parallel to the division or partitioning of another entity.
  • D. distributedWith
    Indicates that one entity is supplied, packaged, or made available together with another entity as part of the same distribution.
  • E. distributionPattern
    Indicates the characteristic way in which something is spread, arranged, or allocated across a space, group, or set.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffabccc81909115ece1b04e2061 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:28 p.m.