Triple
T35804168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 金鯱 |
E1035061
|
entity |
| Predicate | 視覚的特徴 |
P25983
|
FINISHED |
| Object | 遠方からも視認できる大型装飾である |
—
|
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: 遠方からも視認できる大型装飾である | Statement: [金鯱, 視覚的特徴, 遠方からも視認できる大型装飾である]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 視覚的特徴 Context triple: [金鯱, 視覚的特徴, 遠方からも視認できる大型装飾である]
-
A.
eyeCharacteristic
Indicates a relationship where an entity possesses a specific attribute, feature, or quality of its eyes.
-
B.
eyeFeatureObserved
Indicates that a specific characteristic or condition of the eye has been detected or recorded through observation.
-
C.
展望の特徴
Indicates a characteristic or feature that describes the nature or quality of a prospect, outlook, or future view.
-
D.
visualField
Indicates the spatial region in which a visual system or observer can detect and perceive visual stimuli.
-
E.
visualFeature
chosen
Indicates a relationship where one entity possesses or exhibits a particular visual characteristic or attribute of 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.