Triple
T5810462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osing people |
E128854
|
entity |
| Predicate | hasTraditionalMusicEnsemble |
P55033
|
FINISHED |
| Object | gamelan |
—
|
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: gamelan | Statement: [Osing people, hasTraditionalMusicEnsemble, gamelan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalMusicEnsemble Context triple: [Osing people, hasTraditionalMusicEnsemble, gamelan]
-
A.
hasMusicalEnsemble
chosen
Indicates that one entity is associated with or includes a particular musical ensemble (such as a band, orchestra, or group) as part of its activities or composition.
-
B.
hasMusicalEnsembleType
Indicates that an entity is associated with or classified as a particular type of musical ensemble.
-
C.
usesMusicEnsemble
Indicates that one entity employs or incorporates a particular music ensemble in carrying out an action, function, or production.
-
D.
hasOrchestraSection
Indicates that something includes or is associated with a particular section of an orchestra.
-
E.
hasMusicInstitution
Indicates that an entity is associated with or hosts a music-related institution, such as a conservatory, music school, or similar organization.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b538cd08190a7dac378898059b9 |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.