Triple

T32738713
Position Surface form Disambiguated ID Type / Status
Subject Hijaz scale E837160 entity
Predicate typicalCadence P205146 FINISHED
Object resolution from b2 to tonic 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: resolution from b2 to tonic | Statement: [Hijaz scale, typicalCadence, resolution from b2 to tonic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalCadence
Context triple: [Hijaz scale, typicalCadence, resolution from b2 to tonic]
  • A. typicalStep
    Indicates that an action, event, or sub-process is a standard or commonly occurring step within a larger process or procedure.
  • B. typicalTempoPattern
    Indicates the characteristic or commonly occurring tempo progression or rhythmic pattern associated with an action or event.
  • C. typicalBeatCount
    Indicates the usual or standard number of beats associated with an event, pattern, or unit (such as a musical measure or rhythmic figure).
  • D. hasCadence
    Indicates that something possesses or exhibits a particular rhythmic pattern, tempo, or flow.
  • E. typicalNumberOfCycles
    Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
  • F. None of above. chosen

Provenance (4 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_69f34936e1748190b797e406e4e9293a completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a0379f0cbe481909b4b8fc6cbe297f0 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037cab06288190b093935f235ddff2 completed May 12, 2026, 7:16 p.m.
Created at: May 1, 2026, 1:12 a.m.