Triple
T37734264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodai Daruma |
E940236
|
entity |
| Predicate | inJapaneseCulture |
P188984
|
FINISHED |
| Object | represented by red, round Daruma dolls |
—
|
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: represented by red, round Daruma dolls | Statement: [Bodai Daruma, inJapaneseCulture, represented by red, round Daruma dolls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inJapaneseCulture Context triple: [Bodai Daruma, inJapaneseCulture, represented by red, round Daruma dolls]
-
A.
inJapaneseHistory
Indicates that something occurs within, belongs to, or is specifically situated in the context of Japanese history.
-
B.
mainJapaneseGateway
Indicates that one entity serves as the primary Japanese access point or entry gateway for another entity.
-
C.
JapaneseMission
Indicates a mission, delegation, or official undertaking that is specifically associated with Japan or originates from Japanese authorities or organizations.
-
D.
japaneseOnReading
Indicates the on-yomi (Sino-Japanese) pronunciation associated with a given Japanese kanji or term.
-
E.
japaneseVariant
Indicates that one entity is a Japanese-language or Japan-specific variant or version of another entity.
- F. None of above. chosen
Provenance (4 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.