Triple
T9051235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quan họ |
E216886
|
entity |
| Predicate | musicalScale |
P25834
|
FINISHED |
| Object | pentatonic tendencies |
—
|
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: pentatonic tendencies | Statement: [Quan họ, musicalScale, pentatonic tendencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalScale Context triple: [Quan họ, musicalScale, pentatonic tendencies]
-
A.
typicalScaleDegreePattern
Indicates the usual or most common sequence of scale degrees that characterizes a particular melodic, harmonic, or stylistic pattern.
-
B.
musicTheoryContext
Indicates that one entity is interpreted or analyzed within the framework, rules, or concepts of music theory in relation to another entity or situation.
-
C.
musicalSymbol
Indicates that one entity is a musical notation mark or sign associated with another entity in a musical context.
-
D.
musicalMode
chosen
Indicates the specific tonal framework or scale system (mode) in which a piece of music or musical passage is organized.
-
E.
tonalityProgression
Indicates a change or development in musical key or tonal center over the course of a piece or passage.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.