Triple
T1019265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamelan |
E22002
|
entity |
| Predicate | typicalTempoControl |
P23288
|
FINISHED |
| Object | kendang player |
—
|
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: kendang player | Statement: [Gamelan, typicalTempoControl, kendang player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTempoControl Context triple: [Gamelan, typicalTempoControl, kendang player]
-
A.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
-
B.
hasBPMApprox
Indicates an approximate beats-per-minute (BPM) value associated with an entity, rather than an exact measured tempo.
-
C.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
-
D.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
E.
typicalNotation
Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
- F. None of above. chosen
Provenance (4 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dbcf7c8190858b2d16a27bd2ff |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.