Triple

T28616379
Position Surface form Disambiguated ID Type / Status
Subject CreateSemaphore E724281 entity
Predicate handleUsage P124801 FINISHED
Object used with WaitForSingleObject 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: used with WaitForSingleObject | Statement: [CreateSemaphore, handleUsage, used with WaitForSingleObject]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handleUsage
Context triple: [CreateSemaphore, handleUsage, used with WaitForSingleObject]
  • A. errorUsage
    Indicates that an error has occurred in how something is used, invoked, or applied within a given context.
  • B. respondUsage
    Indicates that one entity replies or reacts in some manner to the use or application of another entity.
  • C. hasUsageNote
    Indicates that there is an associated explanatory note describing how or when something should be used.
  • D. usesHandle chosen
    Indicates that an entity operates, controls, or interacts with another entity by means of a handle or handled interface.
  • E. hasUsageRegister
    Indicates that a linguistic expression is associated with a particular usage register or level of formality in communication.
  • 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_69f01d816d7c8190a1fe27e3434041dc completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec5bf508190ad088b89455252bd completed May 2, 2026, 9:38 p.m.
Created at: April 28, 2026, 4:32 a.m.