Triple
T24800813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōyashima |
E620516
|
entity |
| Predicate | hasMythicOrderOfFormation |
P157312
|
FINISHED |
| Object | Kyūshū fourth |
—
|
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: Kyūshū fourth | Statement: [Ōyashima, hasMythicOrderOfFormation, Kyūshū fourth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMythicOrderOfFormation Context triple: [Ōyashima, hasMythicOrderOfFormation, Kyūshū fourth]
-
A.
hasMythicOrderOfFormation
chosen
Indicates that there exists a specific mythic or legendary sequence in which the related entities are believed to have been formed or brought into existence.
-
B.
hasMythicMotif
Indicates that one entity features, embodies, or is associated with a particular mythic motif found in the other entity.
-
C.
hasMythicFounder
Indicates that an entity is traditionally believed to have been founded or established by a legendary or mythological figure rather than a historically verified person.
-
D.
hasMythicTheme
Indicates that something embodies, references, or is characterized by a mythic or mythological theme.
-
E.
hasMythicMode
Indicates that an entity possesses or supports a special "mythic" difficulty or mode beyond standard levels.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 4:49 a.m.