Triple

T27638852
Position Surface form Disambiguated ID Type / Status
Subject Pay-to-Witness-Script-Hash E696534 entity
Predicate witnessProgramType P163314 FINISHED
Object script hash 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: script hash | Statement: [Pay-to-Witness-Script-Hash, witnessProgramType, script hash]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: witnessProgramType
Context triple: [Pay-to-Witness-Script-Hash, witnessProgramType, script hash]
  • A. witnessProgramLength
    Indicates the duration or length of time associated with a witness protection (or similar) program.
  • B. hasWitnessType
    Indicates that an event, incident, or situation is associated with a specific category or type of witness involved.
  • C. witnessCount
    Indicates the number of distinct witnesses associated with a particular event, action, or relationship.
  • D. containsProgramType
    Indicates that one entity includes or encompasses a specific type or category of program.
  • E. covenantWitness
    Indicates that an entity serves as a witness or guarantor to a covenant or binding agreement between parties.
  • F. None of above. chosen

Provenance (4 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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6369a22688190a5674191c90a5d12 completed May 2, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69f631871c888190bf29466fe4254e51 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6359d46b88190922dd7de508e3b0e completed May 2, 2026, 5:34 p.m.
Created at: April 27, 2026, 2:25 p.m.