Triple

T34955028
Position Surface form Disambiguated ID Type / Status
Subject SumatraPDF E1008102 entity
Predicate softwareVersioning P5326 FINISHED
Object stable release model 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: stable release model | Statement: [SumatraPDF, softwareVersioning, stable release model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: softwareVersioning
Context triple: [SumatraPDF, softwareVersioning, stable release model]
  • A. versionFormat
    Indicates the specific structural pattern or notation used to represent a version identifier.
  • B. versionComponent
    Indicates that one entity is a component or segment of another entity’s version identifier (e.g., major, minor, or patch number).
  • C. versioningModel chosen
    Indicates that one entity serves as a versioning or revision-control model governing how versions of another entity are created, tracked, and managed.
  • D. versionOf
    Indicates that one entity is a specific form, edition, or variant derived from or corresponding to another entity.
  • E. versioningRule
    Indicates the rule or policy that governs how different versions of an entity are created, labeled, and managed over time.
  • 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_69f76dc69564819099e9e78aed6ff0a6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c61ed4c8190ad84c918fa9af55a completed May 3, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69f78b8cb3a881909ebaac1b503988c2 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4 p.m.