Triple
T37864673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 渡月橋 |
E944437
|
entity |
| Predicate | 景観的特徴 |
P22129
|
FINISHED |
| Object | 四季折々の風景が楽しめる |
—
|
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: 四季折々の風景が楽しめる | Statement: [渡月橋, 景観的特徴, 四季折々の風景が楽しめる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 景観的特徴 Context triple: [渡月橋, 景観的特徴, 四季折々の風景が楽しめる]
-
A.
象徴的景観
Indicates a relationship where a landscape or scenery serves as a symbolic representation of particular ideas, values, or cultural meanings.
-
B.
hasLandscapeFeatures
chosen
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
C.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
D.
landscapeElement
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
E.
scenicCategory
Indicates the classification of a place or route based on its visual appeal or scenic qualities.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.