Triple

T25617090
Position Surface form Disambiguated ID Type / Status
Subject Morgan E642186 entity
Predicate cacheConfigurationComparedToAthlon P96766 FINISHED
Object reduced L2 cache 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: reduced L2 cache | Statement: [Morgan, cacheConfigurationComparedToAthlon, reduced L2 cache]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cacheConfigurationComparedToAthlon
Context triple: [Morgan, cacheConfigurationComparedToAthlon, reduced L2 cache]
  • A. memoryConfigurations
    Indicates how memory resources are arranged, allocated, or structured within a system or component.
  • B. l2CacheTypicalSize chosen
    Indicates the typical or standard size of an entity’s level-2 (L2) cache in a computing system.
  • C. L2CacheSpeedRelation
    Indicates a relationship comparing or characterizing the speed or performance of an L2 cache relative to another component, cache level, or reference.
  • D. cacheDesign
    Indicates that one entity designs, specifies, or defines the structure and behavior of a cache used by another entity or system.
  • E. cacheCoherencyProtocol
    Indicates that a specific protocol is used to maintain consistency of cached data across multiple processors or cache levels in a system.
  • 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_69e77e7a96748190b10f2699041e4e43 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5f9e8734c8190a214685b1647abe1 completed May 2, 2026, 1:19 p.m.
PD Predicate disambiguation batch_69f4938262ac8190b41f922d0407d272 completed May 1, 2026, 11:50 a.m.
Created at: April 21, 2026, 5 p.m.