Triple

T25540238
Position Surface form Disambiguated ID Type / Status
Subject Cherry Trail E640156 entity
Predicate memoryChannelCount P82796 FINISHED
Object 2 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: 2 | Statement: [Cherry Trail, memoryChannelCount, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: memoryChannelCount
Context triple: [Cherry Trail, memoryChannelCount, 2]
  • A. maxMemoryChannels
    Indicates the maximum number of memory channels that an entity can support or utilize.
  • B. maxChannels
    Indicates the maximum number of channels that can be used, created, or active within a given context or system.
  • C. hasChannelCount chosen
    Indicates that an entity is associated with a specific number of channels.
  • D. numberOfAdditionalChannels
    Indicates the quantity of extra channels added beyond a base or default set in a given context.
  • E. polyphonicChannels
    Indicates that an entity supports or involves multiple independent audio or musical channels that can sound simultaneously (polyphony).
  • 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_69e75dbfff7081909b0aa779d48321d2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f89380848190a379fa13b6462b02 completed May 2, 2026, 1:13 p.m.
PD Predicate disambiguation batch_69f4a0f7c6008190ae8cee3e71e19b94 completed May 1, 2026, 12:47 p.m.
Created at: April 21, 2026, 3:25 p.m.