Triple
T35007346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia no Junshin |
E1009846
|
entity |
| Predicate | isTitleInJapanese |
P4863
|
FINISHED |
| Object | アジアの純真 |
—
|
NE NERFINISHED |
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: アジアの純真 | Statement: [Asia no Junshin, isTitleInJapanese, アジアの純真]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTitleInJapanese Context triple: [Asia no Junshin, isTitleInJapanese, アジアの純真]
-
A.
titleInJapanese
chosen
Indicates that one entity is the title of another entity expressed specifically in the Japanese language.
-
B.
hasTitleInRevisedRomanization
Indicates that an entity has a specific title expressed using the Revised Romanization system for Korean.
-
C.
titleInJapan
Indicates that an entity has a specific title or name when released or used in Japan.
-
D.
titleInKanji
Indicates that one entity is the title of another entity written specifically in Kanji characters.
-
E.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.