Triple

T27638863
Position Surface form Disambiguated ID Type / Status
Subject Pay-to-Witness-Script-Hash E696534 entity
Predicate witnessContains P163511 FINISHED
Object stack elements for script evaluation 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: stack elements for script evaluation | Statement: [Pay-to-Witness-Script-Hash, witnessContains, stack elements for script evaluation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: witnessContains
Context triple: [Pay-to-Witness-Script-Hash, witnessContains, stack elements for script evaluation]
  • A. witnessContains chosen
    Indicates that a witness entity includes, references, or encompasses another specified element (such as evidence, statements, or observations) within it.
  • B. witnessCount
    Indicates the number of distinct witnesses associated with a particular event, action, or relationship.
  • C. usesWitnessField
    Indicates that an entity performs an action or process that relies on or incorporates a designated witness field as part of its operation or validation.
  • D. hasWitnessType
    Indicates that an event, incident, or situation is associated with a specific category or type of witness involved.
  • E. witnessesMustBe
    Indicates that certain individuals are required to serve as witnesses under specified conditions or rules.
  • 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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c663be481908f233d25d28713a4 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 2:25 p.m.