Triple
T30441903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 瑞ケ池公園 |
E774467
|
entity |
| Predicate | 環境 |
P89071
|
FINISHED |
| Object | 水辺環境 |
—
|
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: 水辺環境 | Statement: [瑞ケ池公園, 環境, 水辺環境]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 環境 Context triple: [瑞ケ池公園, 環境, 水辺環境]
-
A.
محیط زیست
chosen
Indicates a relationship involving the natural environment, such as the impact of actions on ecological systems, resources, and living conditions.
-
B.
environmentAuthority
Indicates that an entity has official regulatory or supervisory power over environmental matters affecting another entity or area.
-
C.
environmentalIssue
Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
-
D.
environmentRole
Indicates the functional role or influence that one entity has within or upon a particular environment or environmental context.
-
E.
environmentalFocus
Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
- 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.