Triple
T4034489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokin Wakashū |
E83793
|
entity |
| Predicate | emphasizesTechnique |
P45342
|
FINISHED |
| Object | wordplay (kakekotoba) |
—
|
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: wordplay (kakekotoba) | Statement: [Kokin Wakashū, emphasizesTechnique, wordplay (kakekotoba)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesTechnique Context triple: [Kokin Wakashū, emphasizesTechnique, wordplay (kakekotoba)]
-
A.
skillEmphasis
chosen
Indicates that a particular skill is given special focus, priority, or importance within a context such as a role, task, or curriculum.
-
B.
featuresTechnique
Indicates that something incorporates or makes use of a particular technique as part of its content or execution.
-
C.
hasTechnique
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
D.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
E.
usedByTechnique
Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.