Triple
T24697780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 池田 |
E611642
|
entity |
| Predicate | kanjiComposition |
P78041
|
FINISHED |
| Object | 田 (rice field) |
—
|
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: 田 (rice field) | Statement: [池田, kanjiComposition, 田 (rice field)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kanjiComposition Context triple: [池田, kanjiComposition, 田 (rice field)]
-
A.
componentKanji2
chosen
Indicates that one kanji character serves as the second component or sub-part of another kanji.
-
B.
kanji
Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
-
C.
commonKanjiComponent
Indicates that two or more kanji share a common graphical component or radical in their written form.
-
D.
componentKanji1Meaning
Indicates that the first kanji component of a character corresponds to a particular meaning or semantic value.
-
E.
JapaneseFormation
Indicates a relationship where something is formed, created, or organized according to Japanese style, methods, or origin.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:22 a.m.