Triple

T9029573
Position Surface form Disambiguated ID Type / Status
Subject Zcash E216133 entity
Predicate previouslyUsedFundingMechanism P59 FINISHED
Object founders’ reward 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: founders’ reward | Statement: [Zcash, previouslyUsedFundingMechanism, founders’ reward]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslyUsedFundingMechanism
Context triple: [Zcash, previouslyUsedFundingMechanism, founders’ reward]
  • A. usedFund
    Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
  • B. usedFeederFunds
    Indicates that an entity employed feeder funds as intermediary investment vehicles to channel capital into another fund or investment structure.
  • C. fundingMeasure
    Indicates a relationship where one entity provides or allocates financial resources (funding) as a specific measure or action in support of another entity, project, or initiative.
  • D. fundingContext
    Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
  • E. fundingModel chosen
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69cc5ee3597c81908919cf866ae95c24 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:08 p.m.