Triple

T10157564
Position Surface form Disambiguated ID Type / Status
Subject Noise_IX pattern E233810 entity
Predicate canBeComposedWith P23101 FINISHED
Object Noise transport messages 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: Noise transport messages | Statement: [Noise_IX pattern, canBeComposedWith, Noise transport messages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeComposedWith
Context triple: [Noise_IX pattern, canBeComposedWith, Noise transport messages]
  • A. alsoComposedWith
    Indicates that something is created or formed together with one or more additional components, highlighting a joint or complementary composition relationship.
  • B. canBeConstructedWith chosen
    Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
  • C. composedTo
    Indicates that one entity created or authored another entity, typically a work such as a piece of music, writing, or art.
  • D. previouslyComposedOf
    Indicates that something was formerly made up of or constituted by certain parts, elements, or members, but no longer is.
  • E. composedFor
    Indicates that a creative work (typically a piece of music) was specifically written or created for a particular person, group, event, or purpose.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5507f08190b47f797bacd5640c completed April 2, 2026, 4:11 a.m.
PD Predicate disambiguation batch_69cd4ba795808190acc9124c98c6e40f completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:09 p.m.