Triple

T21427622
Position Surface form Disambiguated ID Type / Status
Subject Antara E528597 entity
Predicate hasTonalOrganization P67730 FINISHED
Object non‑tonal or post‑tonal 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: non‑tonal or post‑tonal | Statement: [Antara, hasTonalOrganization, non‑tonal or post‑tonal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTonalOrganization
Context triple: [Antara, hasTonalOrganization, non‑tonal or post‑tonal]
  • A. hasPhonemicTone
    Indicates that a language, word, or syllable uses pitch differences (tones) as phonemic contrasts that can change meaning.
  • B. tonal chosen
    Indicates that one entity has a tone, pitch pattern, or tonal quality in relation to another (such as a language, sound, or musical element).
  • C. tonalCharacteristic
    Indicates the specific quality or character of a sound’s tone, such as its color, texture, or expressive nuance, in relation to an entity.
  • D. tonalAssociation
    Indicates a relationship where one entity is linked to another through a shared or corresponding tonal quality, pitch, or key.
  • E. inTonality
    Indicates that something (such as a musical element, passage, or piece) is expressed, structured, or interpreted within a specific musical key or tonal framework.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3e63a54819089efea2f26b58107 completed April 22, 2026, 11:41 a.m.
PD Predicate disambiguation batch_69e61639ee288190889ffd500d1260f6 completed April 20, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:49 p.m.