Triple
T32500652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 雅幸 |
E830648
|
entity |
| Predicate | meaningComponentOfKanji雅 |
P106549
|
FINISHED |
| Object | elegance |
—
|
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: elegance | Statement: [雅幸, meaningComponentOfKanji雅, elegance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningComponentOfKanji雅 Context triple: [雅幸, meaningComponentOfKanji雅, elegance]
-
A.
componentKanji1Meaning
Indicates that the first kanji component of a character corresponds to a particular meaning or semantic value.
-
B.
componentKanji2
Indicates that one kanji character serves as the second component or sub-part of another kanji.
-
C.
commonKanjiComponent
Indicates that two or more kanji share a common graphical component or radical in their written form.
-
D.
meaningComponent樹
Indicates that one entity represents a semantic or conceptual component contributing to the overall meaning of another entity.
-
E.
possibleKanjiMeaning
chosen
Indicates that a given meaning is a possible or candidate interpretation associated with a particular kanji character.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 12:59 a.m.