Triple

T37360058
Position Surface form Disambiguated ID Type / Status
Subject Inventions and Sinfonias E927552 entity
Predicate hasThreePartSection P108499 FINISHED
Object Sinfonias BWV 787–801 NE NERFINISHED

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: Sinfonias BWV 787–801 | Statement: [Inventions and Sinfonias, hasThreePartSection, Sinfonias BWV 787–801]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThreePartSection
Context triple: [Inventions and Sinfonias, hasThreePartSection, Sinfonias BWV 787–801]
  • A. hasThreePartStructure chosen
    Indicates that something is organized into three distinct, related parts or sections.
  • B. hasSect
    Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
  • C. isMultiSectional
    Indicates that something is composed of or divided into multiple distinct sections or parts.
  • D. hasTwoPartStructure
    Indicates that something is composed of exactly two distinct, structured parts that together form a whole.
  • E. has2DSection
    Indicates that one entity represents a two-dimensional cross-sectional view or slice of another entity.
  • 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_69f76eb701788190b40824bc4594d985 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbbc49da8c8190902bbb05d2477cab completed May 6, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69fbb13f34b08190bbbb220ac1e6e666 completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:16 p.m.