Triple
T30441915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 瑞ケ池公園 |
E774467
|
entity |
| Predicate | 日本語別表記 |
P98437
|
FINISHED |
| Object | 瑞ヶ池公園 |
—
|
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: 瑞ヶ池公園 | Statement: [瑞ケ池公園, 日本語別表記, 瑞ヶ池公園]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 日本語別表記 Context triple: [瑞ケ池公園, 日本語別表記, 瑞ヶ池公園]
-
A.
別表記
chosen
Indicates that one entity is an alternative written form or spelling variant of another entity.
-
B.
termInJapaneseScript
Indicates that a given term is written or represented using Japanese script (such as kanji, hiragana, or katakana).
-
C.
onYomiJapanese
Indicates that the specified reading is the on’yomi (Sino-Japanese) pronunciation associated with a given kanji or term.
-
D.
JapaneseNameReading
Indicates that one entity is the reading or pronunciation (e.g., in kana or romaji) of a Japanese name represented by the other entity.
-
E.
usesKatakanaFor
Indicates that one entity is written or represented using katakana script in relation to another entity.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6869948e481908901dbda23952cc0 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:08 p.m.