Triple
T30101588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSMC Tokyo |
E765010
|
entity |
| Predicate | usesBasin |
P116183
|
FINISHED |
| Object | western North Pacific tropical cyclone basin |
—
|
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: western North Pacific tropical cyclone basin | Statement: [RSMC Tokyo, usesBasin, western North Pacific tropical cyclone basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBasin Context triple: [RSMC Tokyo, usesBasin, western North Pacific tropical cyclone basin]
-
A.
basinUse
chosen
Indicates that a basin is used for a particular purpose, activity, or function.
-
B.
basinFor
Indicates that something serves as a basin or receptacle specifically intended for collecting, holding, or draining another entity.
-
C.
basin
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
-
D.
basinPartOf
Indicates that one basin is a component or subdivision of a larger basin or basin system.
-
E.
locatedInBasin
Indicates that one geographical or hydrological feature lies within the drainage or catchment area of a specified basin.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 7:08 p.m.