Triple

T26991370
Position Surface form Disambiguated ID Type / Status
Subject Handle-Body pattern E679868 entity
Predicate canUseMechanism P8166 FINISHED
Object indirection via pointer or reference 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: indirection via pointer or reference | Statement: [Handle-Body pattern, canUseMechanism, indirection via pointer or reference]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canUseMechanism
Context triple: [Handle-Body pattern, canUseMechanism, indirection via pointer or reference]
  • A. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • B. hasMechanism chosen
    Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
  • C. canBeUsed
    Indicates that one entity is suitable or available to serve a particular function, purpose, or role in relation to another entity or context.
  • D. canEnable
    Indicates that one entity has the capability or authority to activate, turn on, or make another entity or function operational.
  • E. canPerform
    Indicates that one entity has the ability, permission, or capacity to carry out a specific action or function on or 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_69eeeb5138ac8190b3c273ddc659a54f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f62c15952881908a5ea0c25904afec completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 6:52 a.m.