Triple

T35281352
Position Surface form Disambiguated ID Type / Status
Subject Memorymoog E1018940 entity
Predicate hasLayerMode P200269 FINISHED
Object no 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: no | Statement: [Memorymoog, hasLayerMode, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLayerMode
Context triple: [Memorymoog, hasLayerMode, no]
  • A. hasLayerFunction
    Indicates that one entity serves as the functional role or operational purpose of a specific layer within another entity or system.
  • B. isLayeredOver
    Indicates that one entity is positioned or arranged directly on top of another, partially or fully covering it in a layered manner.
  • C. hasModeSystem
    Indicates that one entity operates under, or is associated with, a particular mode defined or managed by another system.
  • D. hasCompatibilityMode
    Indicates that one entity operates under a special mode or setting designed to maintain compatibility with another entity or with an earlier version.
  • E. hasPrimaryModeSupported
    Indicates that an entity supports a particular mode as its main or default mode of operation.
  • F. None of above. chosen

Provenance (4 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_69f76de6d39c8190bb11342e4b91ff2b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff7dcedab08190a719a707d03306e2 completed May 9, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69ff7d0119348190ad462554e81190fe completed May 9, 2026, 6:29 p.m.
PDg Predicate description generation batch_69ff7dce25d88190b167a014661bc4ba completed May 9, 2026, 6:32 p.m.
Created at: May 3, 2026, 4:03 p.m.