Triple
T35804169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 金鯱 |
E1035061
|
entity |
| Predicate | 制作技法 |
P14965
|
FINISHED |
| Object | 木彫や鋳造によって形作られる |
—
|
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: 木彫や鋳造によって形作られる | Statement: [金鯱, 制作技法, 木彫や鋳造によって形作られる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 制作技法 Context triple: [金鯱, 制作技法, 木彫や鋳造によって形作られる]
-
A.
artisticTechnique
chosen
Indicates the method, style, or process used to create or execute an artistic work.
-
B.
specialEffectsTechnique
Indicates a relationship where a particular special effects method or process is used to create or enhance visual or auditory effects in a production.
-
C.
craftSpecialty
Indicates that an entity has a particular area of specialized skill or focus within a craft or artisanal practice.
-
D.
craftProcess
Indicates the method or sequence of actions used to create, shape, or assemble something, typically by skilled or artisanal means.
-
E.
artisticTraining
Indicates that one entity has provided, received, or been involved in formal or informal instruction or education in the arts from or with 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.