Triple
T17451804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大沼（赤城山） |
E424929
|
entity |
| Predicate | 周辺環境 |
P77335
|
FINISHED |
| Object | 高原性の森林 |
—
|
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: 高原性の森林 | Statement: [大沼（赤城山）, 周辺環境, 高原性の森林]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 周辺環境 Context triple: [大沼（赤城山）, 周辺環境, 高原性の森林]
-
A.
tourEnvironment
Indicates that an entity conducts or participates in a tour within a particular environment or setting.
-
B.
secondaryEnvironment
Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
-
C.
محیط زیست
Indicates a relationship involving the natural environment, such as the impact of actions on ecological systems, resources, and living conditions.
-
D.
environmentalFactor
chosen
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
E.
borderingEnvironment
Indicates that one environment or habitat lies directly adjacent to and shares a boundary with another environment.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513e57248190824b540865311f44 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.