Triple
T30349637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA Bunko |
E771955
|
entity |
| Predicate | subgenreFocus |
P15287
|
FINISHED |
| Object | isekai |
—
|
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: isekai | Statement: [GA Bunko, subgenreFocus, isekai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subgenreFocus Context triple: [GA Bunko, subgenreFocus, isekai]
-
A.
subgenre
chosen
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
B.
subgenreScene
Indicates that one scene is a more specific subgenre or subtype of another, broader scene category.
-
C.
secondaryGenre
Indicates that an entity (such as a work or item) has an additional, non-primary genre classification associated with it.
-
D.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
E.
visualGenre
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6820b4b8c81908f5bbae956565ec0 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:56 p.m.