Triple

T28616434
Position Surface form Disambiguated ID Type / Status
Subject GetTickCount E724282 entity
Predicate linkRequirement P11424 FINISHED
Object Kernel32.lib NE NERFINISHED

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: Kernel32.lib | Statement: [GetTickCount, linkRequirement, Kernel32.lib]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linkRequirement
Context triple: [GetTickCount, linkRequirement, Kernel32.lib]
  • A. relatedRequirement
    Indicates that one requirement has a defined relationship or dependency with another requirement.
  • B. mappingRequirement
    Indicates that one entity must be mapped or corresponded to another entity according to a specified rule, condition, or constraint.
  • C. requiredBy chosen
    Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
  • D. fallbackRequirement
    Indicates a secondary or backup condition that applies when the primary requirement cannot be met.
  • E. distributionRequirement
    Indicates that one entity specifies or imposes conditions, rules, or criteria governing how another entity must be distributed or allocated.
  • 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_69f652a492108190b885b955ce147d3c completed May 2, 2026, 7:38 p.m.
PD Predicate disambiguation batch_69f651aad92c8190b874b3b5f9f64434 completed May 2, 2026, 7:34 p.m.
Created at: April 28, 2026, 4:32 a.m.