Triple
T34258716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 九十九里浜 |
E878965
|
entity |
| Predicate | 環境課題 |
P1006
|
FINISHED |
| Object | 海岸侵食が問題となっている |
—
|
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: 海岸侵食が問題となっている | Statement: [九十九里浜, 環境課題, 海岸侵食が問題となっている]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 環境課題 Context triple: [九十九里浜, 環境課題, 海岸侵食が問題となっている]
-
A.
environmentalIssue
chosen
Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
-
B.
shareEnvironmentalIssues
Indicates that two or more entities are affected by, involved in, or concerned with the same environmental problems or challenges.
-
C.
environmentalIssueAddressed
Indicates that an action, policy, or entity is aimed at tackling, mitigating, or resolving a specific environmental problem or concern.
-
D.
environmentAuthority
Indicates that an entity has official regulatory or supervisory power over environmental matters affecting another entity or area.
-
E.
محیط زیست
Indicates a relationship involving the natural environment, such as the impact of actions on ecological systems, resources, and living conditions.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.