Triple

T27840170
Position Surface form Disambiguated ID Type / Status
Subject Platform Independent Model E703656 entity
Predicate mayBeRefinedInto P112260 FINISHED
Object multiple Platform Specific Models 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: multiple Platform Specific Models | Statement: [Platform Independent Model, mayBeRefinedInto, multiple Platform Specific Models]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeRefinedInto
Context triple: [Platform Independent Model, mayBeRefinedInto, multiple Platform Specific Models]
  • A. refinementBy chosen
    Indicates that one entity serves as a more detailed, precise, or improved version of another entity.
  • B. refinedIn
    Indicates that one entity is processed or purified within a refining facility or operation to improve its quality or extract desired components.
  • C. refinesSupportFor
    Indicates that one entity improves, clarifies, or makes more precise the support or justification provided by another entity.
  • D. mayBeFilledBy
    Indicates that one entity has the potential or permission to be occupied, completed, or satisfied by another entity.
  • E. mayBeUpgradedTo
    Indicates that one entity is eligible or allowed to be changed into a higher, improved, or more advanced version represented by 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_69ef840d9e3c819093615ebff4ec22be completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
Created at: April 27, 2026, 6:02 p.m.