Triple

T7899338
Position Surface form Disambiguated ID Type / Status
Subject P2PKH E183408 entity
Predicate spendCondition P7930 FINISHED
Object knowledge of corresponding private key 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: knowledge of corresponding private key | Statement: [P2PKH, spendCondition, knowledge of corresponding private key]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spendCondition
Context triple: [P2PKH, spendCondition, knowledge of corresponding private key]
  • A. authorizedSpending chosen
    Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
  • B. obligationCondition
    Indicates that one situation or state serves as the condition under which an obligation for an entity becomes active or must be fulfilled.
  • C. conditionForSparing
    Indicates that one entity specifies the circumstances under which another entity is exempted from harm, penalty, or adverse action.
  • D. donationCondition
    Indicates that a donation is subject to specific terms, requirements, or circumstances that must be met for it to occur or be valid.
  • E. supportsSpendingCategory
    Indicates that one entity allows, enables, or is compatible with making expenditures in a specified spending category.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3dc2208190a6fea93b60b8daca completed March 31, 2026, 3:06 a.m.
PD Predicate disambiguation batch_69cae92d94448190b4425bbfb64c658c completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:01 p.m.