Triple

T34798385
Position Surface form Disambiguated ID Type / Status
Subject Woodwinds E1003148 entity
Predicate hasSectionRoleInOrchestra P83678 FINISHED
Object melodic lines 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: melodic lines | Statement: [Woodwinds, hasSectionRoleInOrchestra, melodic lines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSectionRoleInOrchestra
Context triple: [Woodwinds, hasSectionRoleInOrchestra, melodic lines]
  • A. hasOrchestraSection
    Indicates that something includes or is associated with a particular section of an orchestra.
  • B. hasSectionRole chosen
    Indicates that an entity holds a specific role or function within a particular section or subdivision of a larger structure or context.
  • C. hasOrchestraType
    Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
  • D. roleInSymphony
    Indicates the specific function or part an entity performs within the context of a symphony.
  • E. hasSectionIn
    Indicates that one entity contains or includes another entity as a section or subdivision within it.
  • 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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ffecdcbac4819093b725a7dbe0e61b completed May 10, 2026, 2:26 a.m.
PD Predicate disambiguation batch_69ffec3633288190adbbd84e277708dc completed May 10, 2026, 2:23 a.m.
Created at: May 3, 2026, 3:59 p.m.