Triple

T35725261
Position Surface form Disambiguated ID Type / Status
Subject Book I, number in the sequence of 24 preludes and fugues E1032594 entity
Predicate followsKeyOrder P108432 FINISHED
Object all major and minor keys 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: all major and minor keys | Statement: [Book I, number in the sequence of 24 preludes and fugues, followsKeyOrder, all major and minor keys]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsKeyOrder
Context triple: [Book I, number in the sequence of 24 preludes and fugues, followsKeyOrder, all major and minor keys]
  • A. sequenceInKeyOrder chosen
    Indicates that the elements of a sequence appear in the same relative order as defined by a given key or reference ordering.
  • B. hasElementOrder
    Indicates that one entity is ordered or ranked relative to another within a sequence or hierarchy.
  • C. areOrderedBy
    Indicates that a set of items is arranged or sequenced according to a specified criterion or ordering rule.
  • D. hasCanonicalOrdering
    Indicates that there is a standard, agreed-upon sequence in which the related elements should be arranged or considered.
  • E. followsOrderFrom
    Indicates that one entity complies with and acts according to the instructions or commands issued by 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_69f76e102b5881909e5d63a30a5cecbe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff1a972bf08190860696ffcd887c0f completed May 9, 2026, 11:29 a.m.
PD Predicate disambiguation batch_69ff184005d88190bf38283ebc499b28 completed May 9, 2026, 11:19 a.m.
Created at: May 3, 2026, 4:05 p.m.