Triple
T9527217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Burger |
E229788
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate law expert |
C10091
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: climate law expert Context triple: [Michael Burger, instanceOf, climate law expert]
-
A.
climate scientist
A climate scientist is a researcher who studies the Earth’s climate system, analyzes past and present climate data, and develops models to understand and predict climate change and its impacts.
-
B.
international law scholar
chosen
An international law scholar is an expert who studies, interprets, and critiques the legal rules and principles governing relations between states, international organizations, and other global actors.
-
C.
environmental law research organization
An environmental law research organization is an entity that conducts legal analysis, policy studies, and advocacy support focused on environmental protection, natural resource management, and sustainability regulations.
-
D.
climate policy research program
A climate policy research program systematically investigates, analyzes, and evaluates policies and strategies aimed at mitigating and adapting to climate change to inform evidence-based decision-making.
-
E.
civil law scholar
A civil law scholar is a legal expert who studies, interprets, and analyzes the principles, doctrines, and systems governing private law relationships within civil law jurisdictions.
- F. None of above.
Provenance (1 batch)
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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 8 p.m.