Triple
T30433770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sendai Plain |
E774243
|
entity |
| Predicate | hasDisasterMitigation |
P149336
|
FINISHED |
| Object | tsunami 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: tsunami seawalls | Statement: [Sendai Plain, hasDisasterMitigation, tsunami seawalls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisasterMitigation Context triple: [Sendai Plain, hasDisasterMitigation, tsunami seawalls]
-
A.
hasDisaster
Indicates that an entity experiences, is affected by, or is associated with a disaster event.
-
B.
builtAsMitigationFor
Indicates that one entity was constructed specifically to reduce, prevent, or counteract a particular risk, problem, or adverse impact associated with another entity.
-
C.
requiresMitigation
Indicates that something poses a risk or issue that must be addressed through specific mitigation actions or measures.
-
D.
mitigationStrategy
chosen
Indicates a relationship where one entity serves as a method or approach used to reduce, control, or lessen the negative impact, risk, or severity associated with another entity or situation.
-
E.
hasMitigationLevel
Indicates the degree or extent to which a risk, threat, or issue is reduced or controlled by specific mitigation measures.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 29, 2026, 8:07 p.m.