Triple
T30441925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 瑞ケ池公園 |
E774467
|
entity |
| Predicate | 魅力 |
P169441
|
FINISHED |
| Object | 四季折々の自然が楽しめる |
—
|
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: 四季折々の自然が楽しめる | Statement: [瑞ケ池公園, 魅力, 四季折々の自然が楽しめる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 魅力 Context triple: [瑞ケ池公園, 魅力, 四季折々の自然が楽しめる]
-
A.
性格
Indicates a relationship where one entity’s personality, character, or temperament is being described, attributed, or characterized in relation to that entity.
-
B.
magicStyle
Indicates the manner or type of magic used or expressed in a magical action or relationship.
-
C.
身位
Indicates the relative positional relationship or spacing between entities, often in terms of distance, alignment, or stance.
-
D.
דת
Indicates a relationship where an entity is associated with, practices, or is characterized by a particular religion or religious affiliation.
-
E.
为
Indicates that the subject serves as or constitutes the role, identity, or classification expressed by the object.
- F. None of above. chosen
Provenance (4 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6869948e481908901dbda23952cc0 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:08 p.m.