Triple
T25656625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rabab |
E643252
|
entity |
| Predicate | usedInDanceAccompaniment |
P132277
|
FINISHED |
| Object | traditional dances |
—
|
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: traditional dances | Statement: [rabab, usedInDanceAccompaniment, traditional dances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInDanceAccompaniment Context triple: [rabab, usedInDanceAccompaniment, traditional dances]
-
A.
usedInDance
chosen
Indicates that something is employed or incorporated as a component or element within a dance performance or practice.
-
B.
usesMusicFor
Indicates that one entity employs or applies music as a means, tool, or resource to achieve or support some purpose, activity, or effect for another entity or context.
-
C.
accompanimentRole
Indicates the role or function an accompanying entity plays in relation to a primary entity or event.
-
D.
accompanimentType
Indicates the specific manner or style in which one entity accompanies or supports another (e.g., musically, contextually, or functionally).
-
E.
hasPianoAccompaniment
Indicates that something (such as a musical work or performance) is accompanied by a piano part.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 21, 2026, 6:34 p.m.