Triple
T7226196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okada |
E154785
|
entity |
| Predicate | hasKanjiForm |
P17917
|
FINISHED |
| Object | 岡田 |
—
|
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: 岡田 | Statement: [Okada, hasKanjiForm, 岡田]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKanjiForm Context triple: [Okada, hasKanjiForm, 岡田]
-
A.
usesKanjiFrom
Indicates that one writing system, word, or text incorporates or is composed of kanji characters originating from another specified source.
-
B.
kanji
chosen
Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
-
C.
hasJapaneseText
Indicates that an entity contains or is associated with text written in the Japanese language.
-
D.
hasTraditionalCharacter
Indicates that an entity is associated with or represented by a traditional (non-simplified or historically established) written character form.
-
E.
hasHalfwidthForms
Indicates that an entity has corresponding halfwidth character forms representing it.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9de21e081908f30700f6211c5ef |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.