Triple

T30836819
Position Surface form Disambiguated ID Type / Status
Subject Schoelcher Library E785385 entity
Predicate hasMetalFramework P154675 FINISHED
Object yes 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: yes | Statement: [Schoelcher Library, hasMetalFramework, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMetalFramework
Context triple: [Schoelcher Library, hasMetalFramework, yes]
  • A. supportsMetalVersion
    Indicates that one entity is compatible with or able to operate using a specified version of the Metal graphics framework.
  • B. coreMetal chosen
    Indicates that one entity serves as the primary or central metal component within another entity or structure.
  • C. hasFrameworkInstrument
    Indicates that one entity uses or is associated with a specific framework as the instrument or means for performing an action or achieving a result.
  • D. hasFrameworkType
    Indicates that an entity is associated with or classified by a specific type or category of framework.
  • E. hasDistinctiveFrameworkWith
    Indicates that one entity possesses a unique or distinguishing structural framework in relation to 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_69f224b73d8c81908129383bfb397c87 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fdd2be648c8190b60b3d1caeb44364 completed May 8, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69fdd14a5c708190a6f95ec61f4fc28f completed May 8, 2026, 12:04 p.m.
Created at: April 29, 2026, 8:45 p.m.