Triple
T25282497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mridangam |
E633856
|
entity |
| Predicate | hasTuningProperty |
P135075
|
FINISHED |
| Object | tuned to tonic of main performer |
—
|
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: tuned to tonic of main performer | Statement: [Mridangam, hasTuningProperty, tuned to tonic of main performer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTuningProperty Context triple: [Mridangam, hasTuningProperty, tuned to tonic of main performer]
-
A.
tuningType
Indicates the specific method or configuration by which something is adjusted or calibrated to achieve a desired performance or behavior.
-
B.
usesTuningReference
chosen
Indicates that one entity adopts another entity as the pitch or frequency standard for tuning.
-
C.
isTunedTo
Indicates that one entity has been adjusted or configured to operate at, receive, or correspond to the frequency, channel, or setting of another entity.
-
D.
hasTuningDivision
Indicates that one entity specifies or uses a particular system or scheme for dividing a range (such as a musical interval or scale) into tuning units.
-
E.
haveProperty
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e0560648190bb88db7255867d7f |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:19 p.m.