Triple
T4382683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Berners-Lee |
E99165
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | carbon footprint expert |
C12201
|
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: carbon footprint expert Context triple: [Mike Berners-Lee, instanceOf, carbon footprint expert]
-
A.
aerospace expert
An aerospace expert is a highly skilled professional with deep knowledge of aeronautics and astronautics who designs, analyzes, and optimizes aircraft, spacecraft, and related systems for performance, safety, and reliability.
-
B.
climate scientist
chosen
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.
-
C.
agricultural expert
An agricultural expert is a professional who applies scientific knowledge and practical experience to optimize crop and livestock production, manage natural resources sustainably, and advise stakeholders on best farming practices.
-
D.
environmentalist
An environmentalist is a person who is concerned with protecting the natural environment and advocates for sustainable practices to preserve ecosystems and resources for current and future generations.
-
E.
development expert
A development expert is a professional who applies specialized knowledge, tools, and methodologies to plan, implement, and optimize projects or programs that drive sustainable growth and improvement in a specific domain or region.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:18 p.m.