Triple
T22011418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chou |
E543582
|
entity |
| Predicate | mayCorrespondToKanji |
P17917
|
FINISHED |
| Object | 蝶 |
—
|
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: 蝶 | Statement: [Chou, mayCorrespondToKanji, 蝶]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayCorrespondToKanji Context triple: [Chou, mayCorrespondToKanji, 蝶]
-
A.
kanji
chosen
Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
-
B.
meaningDependsOnKanji
Indicates that the meaning of something (e.g., a word or expression) is determined by, or varies according to, the specific kanji characters used.
-
C.
possibleKanjiMeaning
Indicates that a given meaning is a possible or candidate interpretation associated with a particular kanji character.
-
D.
usesKanjiFrom
Indicates that one writing system, word, or text incorporates or is composed of kanji characters originating from another specified source.
-
E.
componentKanji2
Indicates that one kanji character serves as the second component or sub-part of another kanji.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:22 p.m.