Triple

T10951283
Position Surface form Disambiguated ID Type / Status
Subject GEE-H E258731 entity
Predicate hasVersionRole P79830 FINISHED
Object next-generation 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: next-generation model | Statement: [GEE-H, hasVersionRole, next-generation model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVersionRole
Context triple: [GEE-H, hasVersionRole, next-generation model]
  • A. hasVersionIn
    Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
  • B. hasVersionStatus
    Indicates that an entity is associated with a particular version state or status within its lifecycle or revision history.
  • C. hasVersionType
    Indicates that one entity is associated with a specific kind or category of version of another entity.
  • D. versionRole chosen
    Indicates the specific function or status an entity holds within a particular version of another entity or artifact.
  • E. hasVersionManager
    Indicates that one entity is responsible for managing, controlling, or overseeing the versions or revisions of 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fc156c8190826e124c13ce7242 completed April 9, 2026, 9:27 a.m.
PD Predicate disambiguation batch_69d72e874f48819096ffa878f90c7d5b completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.