Triple
T30144845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murchunga |
E766226
|
entity |
| Predicate | tempoUsage |
P1368
|
FINISHED |
| Object | often played in fast rhythmic patterns |
—
|
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: often played in fast rhythmic patterns | Statement: [Murchunga, tempoUsage, often played in fast rhythmic patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tempoUsage Context triple: [Murchunga, tempoUsage, often played in fast rhythmic patterns]
-
A.
recommendedUsageTime
Indicates the period of time for which something is advised or intended to be used.
-
B.
tempo
chosen
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
-
C.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
D.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
E.
screenTime
Indicates the amount of time an entity spends viewing or interacting with a screen-based device.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 7:18 p.m.