Triple

T22446996
Position Surface form Disambiguated ID Type / Status
Subject elm-package E554885 entity
Predicate dependencyResolution P148233 FINISHED
Object semantic versioning 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: semantic versioning | Statement: [elm-package, dependencyResolution, semantic versioning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dependencyResolution
Context triple: [elm-package, dependencyResolution, semantic versioning]
  • A. dependencyModel
    Indicates a relationship where one entity relies on, is conditioned by, or is structured according to another entity within a dependency framework or model.
  • B. dependency
    Indicates that one entity relies on, is conditioned by, or cannot function or exist properly without another entity.
  • C. distributionRequirement
    Indicates that one entity specifies or imposes conditions, rules, or criteria governing how another entity must be distributed or allocated.
  • D. kernelDependsOn
    Indicates that one kernel or core software component requires another kernel or component to be present or available in order to function correctly.
  • E. supportsTransitiveDependencies
    Indicates that an entity provides or manages not only its direct dependencies but also all indirect (transitive) dependencies required through them.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4803908190990280ebd258cb03 completed April 29, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69e898ad961c819098fd1e46129bddcc completed April 22, 2026, 9:45 a.m.
PDg Predicate description generation batch_69e8aa39e3388190b659d59948ebf3e6 completed April 22, 2026, 11 a.m.
Created at: April 16, 2026, 8:47 p.m.