Triple
T15633656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyushu coastal areas |
E375881
|
entity |
| Predicate | hasRiskMitigation |
P80826
|
FINISHED |
| Object | seawalls |
—
|
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: seawalls | Statement: [Kyushu coastal areas, hasRiskMitigation, seawalls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiskMitigation Context triple: [Kyushu coastal areas, hasRiskMitigation, seawalls]
-
A.
riskManagementMechanism
chosen
Indicates a mechanism, process, or control used to identify, assess, mitigate, or monitor risks associated with an entity or activity.
-
B.
riskAssessmentPerformedWith
Indicates that a risk assessment is carried out using, supported by, or in conjunction with a specified method, tool, or resource.
-
C.
riskManagement
Indicates the implementation of strategies and actions to identify, assess, and mitigate potential risks associated with an entity or activity.
-
D.
hasMarginOfSafety
Indicates that one entity possesses a sufficient buffer or safety allowance relative to another condition, threshold, or risk level to reduce the likelihood or impact of failure or loss.
-
E.
riskBased
Indicates that something is determined, prioritized, or managed according to the level or assessment of risk involved.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.