Triple
T10213382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KM Music Conservatory |
E242383
|
entity |
| Predicate | teachesGenre |
P66569
|
FINISHED |
| Object | Western classical music |
—
|
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: Western classical music | Statement: [KM Music Conservatory, teachesGenre, Western classical music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesGenre Context triple: [KM Music Conservatory, teachesGenre, Western classical music]
-
A.
genreTaught
chosen
Indicates that an agent teaches or provides instruction in a particular genre.
-
B.
educationalGenre
Indicates that one entity is categorized as an educational type or genre of content in relation to another entity.
-
C.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
D.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
E.
promotesGenre
Indicates that one entity actively supports, advertises, or increases the visibility of a particular genre.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:03 a.m.