Triple
T22440343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東御苑 |
E554736
|
entity |
| Predicate | 気候帯 |
P77118
|
FINISHED |
| Object | 温帯湿潤気候 |
—
|
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: 温帯湿潤気候 | Statement: [東御苑, 気候帯, 温帯湿潤気候]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 気候帯 Context triple: [東御苑, 気候帯, 温帯湿潤気候]
-
A.
climatologicalRegion
chosen
Indicates that one entity is a climatological region associated with, or characterizing the climate of, another entity.
-
B.
shareClimateZones
Indicates that two entities are located in regions classified under the same climate zone or zones.
-
C.
ecozone
Indicates that two entities stand in a biogeographical relationship where one is an ecological zone (ecozone) that characterizes or contains the other.
-
D.
biogeographicZone
Indicates the biogeographic region or ecological zone in which an entity (such as a species or habitat) naturally occurs or is distributed.
-
E.
climateSubgroup
Indicates that one climate category is a more specific subgroup or subtype within another, broader climate category.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae0edcc8190919b198035de0df2 |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.