Triple
T32749221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunqu opera |
E837445
|
entity |
| Predicate | trainingRequires |
P22716
|
FINISHED |
| Object | long-term vocal training |
—
|
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: long-term vocal training | Statement: [Kunqu opera, trainingRequires, long-term vocal training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingRequires Context triple: [Kunqu opera, trainingRequires, long-term vocal training]
-
A.
requiresTraining
chosen
Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
-
B.
requiresTrainingAt
Indicates that one entity must undergo or complete training at a specified organization, institution, or location as a prerequisite or requirement.
-
C.
requiresPractice
Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
-
D.
trainingUnder
Indicates that one entity is receiving instruction, guidance, or mentorship from another, typically in a subordinate or apprentice-like capacity.
-
E.
trainingIn
Indicates that one entity is undergoing or receiving training within the context, program, or domain specified 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:12 a.m.