Triple

T27866945
Position Surface form Disambiguated ID Type / Status
Subject CancellationToken E704380 entity
Predicate callbackExecutionContextCaptured P163743 FINISHED
Object true 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: true | Statement: [CancellationToken, callbackExecutionContextCaptured, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: callbackExecutionContextCaptured
Context triple: [CancellationToken, callbackExecutionContextCaptured, true]
  • A. closureContext
    Indicates the surrounding scope or environment in which an operation, expression, or function is defined and executed, capturing the variables and bindings available to it.
  • B. operatorAfterCapture
    Indicates that one operator or action is applied immediately after a capture event has occurred.
  • C. recaptureContext
    Indicates that a previously established context or situation is being regained or restored after it was lost, interrupted, or diminished.
  • D. afterCapture
    Indicates that one event or state occurs subsequent to the act of capturing something.
  • E. closureAffected
    Indicates that an entity is impacted or influenced by the closing or termination of another entity, process, or resource.
  • 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_69ef840f12408190b539d00d79658abf completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63c045bd081908e0cb2a119202e8f completed May 2, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69f6370ea79c81909b761821ee0fa698 completed May 2, 2026, 5:40 p.m.
PDg Predicate description generation batch_69f63b3039808190b00bbd19161487f3 completed May 2, 2026, 5:58 p.m.
Created at: April 27, 2026, 6:21 p.m.