Triple
T30441921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 瑞ケ池公園 |
E774467
|
entity |
| Predicate | 自然要素 |
P58243
|
FINISHED |
| Object | 池 |
—
|
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: 池 | Statement: [瑞ケ池公園, 自然要素, 池]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 自然要素 Context triple: [瑞ケ池公園, 自然要素, 池]
-
A.
geographicalNature
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
B.
流域特点
Indicates the characteristic features or attributes that define a river basin’s natural or environmental conditions.
-
C.
isNaturalFeature
chosen
Indicates that the subject is a naturally occurring physical feature of the environment, not created or significantly altered by human activity.
-
D.
hasNaturalPhenomenon
Indicates that a location, region, or environment possesses or is characterized by a particular natural phenomenon (such as a weather event, geological feature, or celestial occurrence).
-
E.
naturalResources
Indicates that one entity possesses, contains, or is a source of natural resources for 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_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. |
Created at: April 29, 2026, 8:08 p.m.