Triple

T27735435
Position Surface form Disambiguated ID Type / Status
Subject CancellationTokenSource E697516 entity
Predicate canLink P107489 FINISHED
Object multiple CancellationToken instances 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: multiple CancellationToken instances | Statement: [CancellationTokenSource, canLink, multiple CancellationToken instances]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canLink
Context triple: [CancellationTokenSource, canLink, multiple CancellationToken instances]
  • A. canBeLinkedTo chosen
    Indicates that one entity has the potential or capability to be connected or associated with another entity.
  • B. canRefer
    Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
  • C. canLiaiseWith
    Indicates that one entity is able or permitted to communicate and coordinate directly with another entity for collaboration or information exchange.
  • D. hasLinkCableSupport
    Indicates that one entity supports being connected to another via a link cable for interaction or data exchange.
  • E. canBondWith
    Indicates that one entity has the capability or compatibility to form a bond or connection with another entity.
  • 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_69ef590c3e288190ad54d2465af8ca4e completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f636a088b8819081e34d416b28cdac completed May 2, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69f63188e7408190af8ce8b93d128c63 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 3:12 p.m.