Triple
T30785880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | アスタナ・ハンシャティル |
E783952
|
entity |
| Predicate | 気候対応 |
P47078
|
FINISHED |
| Object | 内部を温暖な環境に保つ設計 |
—
|
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: 内部を温暖な環境に保つ設計 | Statement: [アスタナ・ハンシャティル, 気候対応, 内部を温暖な環境に保つ設計]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 気候対応 Context triple: [アスタナ・ハンシャティル, 気候対応, 内部を温暖な環境に保つ設計]
-
A.
climateProtection
Indicates actions, policies, or measures aimed at preventing, reducing, or mitigating harmful impacts on the climate and stabilizing the Earth’s climate system.
-
B.
climate
Indicates a relationship where environmental or atmospheric conditions influence, shape, or characterize something (such as a place, system, or process).
-
C.
climateConsiderations
chosen
Indicates that the action or decision takes into account environmental and climate-related factors, such as emissions, resilience, or climate impact.
-
D.
climateTransitionTo
Indicates a change in climate conditions from one state or regime to another over time.
-
E.
socialClimate
Indicates the prevailing interpersonal atmosphere, norms, and attitudes that characterize how people relate and interact within a group, organization, or society.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe8168c8190b083be0e33988b9c |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.