Triple
T5395659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 昴 |
E120647
|
entity |
| Predicate | kunYomiReading |
P52970
|
FINISHED |
| Object | すばる (Subaru) |
—
|
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: すばる (Subaru) | Statement: [昴, kunYomiReading, すばる (Subaru)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kunYomiReading Context triple: [昴, kunYomiReading, すばる (Subaru)]
-
A.
japaneseKunReading
chosen
Indicates that a Japanese kanji character has a specific native Japanese (kun) reading associated with it.
-
B.
kun’yomiDerivedFrom
Indicates that a Japanese kun’yomi (native Japanese reading of a kanji) originates from or is historically derived from another form, source, or expression.
-
C.
kanji
Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
-
D.
japaneseOnReading
Indicates the on-yomi (Sino-Japanese) pronunciation associated with a given Japanese kanji or term.
-
E.
usesKanjiFrom
Indicates that one writing system, word, or text incorporates or is composed of kanji characters originating from another specified source.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.