Triple
T7735824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kana |
E175376
|
entity |
| Predicate | taughtBefore |
P40215
|
FINISHED |
| Object | Kanji |
—
|
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: Kanji | Statement: [Kana, taughtBefore, Kanji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taughtBefore Context triple: [Kana, taughtBefore, Kanji]
-
A.
taughtThrough
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
-
B.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
C.
previousTeaching
chosen
Indicates that one entity has taught or instructed another entity at some earlier time.
-
D.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
E.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.