Triple
T77986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Environmental Protection Agency |
E1559
|
entity |
| Predicate | publishes |
P80
|
FINISHED |
| Object |
Inventory of U.S. Greenhouse Gas Emissions and Sinks
The Inventory of U.S. Greenhouse Gas Emissions and Sinks is an official annual report that quantifies and analyzes the nation’s greenhouse gas emissions and removals across economic sectors to track progress and inform climate policy.
|
E4936
|
NE FINISHED |
How this triple was built (4 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: Inventory of U.S. Greenhouse Gas Emissions and Sinks | Statement: [United States Environmental Protection Agency, publishes, Inventory of U.S. Greenhouse Gas Emissions and Sinks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inventory of U.S. Greenhouse Gas Emissions and Sinks Context triple: [United States Environmental Protection Agency, publishes, Inventory of U.S. Greenhouse Gas Emissions and Sinks]
-
A.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
B.
Center for Global Change Science
The Center for Global Change Science is an MIT research center that advances understanding of the Earth’s climate system and global environmental change through interdisciplinary science and modeling.
-
C.
Earth Resources Laboratory
Earth Resources Laboratory is a research center at MIT focused on applying geophysical and related sciences to the exploration and sustainable management of Earth’s natural resources.
-
D.
ASME Journal of Engineering for Sustainable Buildings and Cities
ASME Journal of Engineering for Sustainable Buildings and Cities is a peer-reviewed scholarly journal focusing on engineering research and innovations that advance sustainability, energy efficiency, and resilience in the built environment and urban systems.
-
E.
National Academies reports
National Academies reports are authoritative, peer-reviewed studies and recommendations produced by the U.S. National Academies to inform public policy and advance science, engineering, and medicine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Inventory of U.S. Greenhouse Gas Emissions and Sinks Triple: [United States Environmental Protection Agency, publishes, Inventory of U.S. Greenhouse Gas Emissions and Sinks]
Generated description
The Inventory of U.S. Greenhouse Gas Emissions and Sinks is an official annual report that quantifies and analyzes the nation’s greenhouse gas emissions and removals across economic sectors to track progress and inform climate policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inventory of U.S. Greenhouse Gas Emissions and Sinks Target entity description: The Inventory of U.S. Greenhouse Gas Emissions and Sinks is an official annual report that quantifies and analyzes the nation’s greenhouse gas emissions and removals across economic sectors to track progress and inform climate policy.
-
A.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
B.
Center for Global Change Science
The Center for Global Change Science is an MIT research center that advances understanding of the Earth’s climate system and global environmental change through interdisciplinary science and modeling.
-
C.
Earth Resources Laboratory
Earth Resources Laboratory is a research center at MIT focused on applying geophysical and related sciences to the exploration and sustainable management of Earth’s natural resources.
-
D.
ASME Journal of Engineering for Sustainable Buildings and Cities
ASME Journal of Engineering for Sustainable Buildings and Cities is a peer-reviewed scholarly journal focusing on engineering research and innovations that advance sustainability, energy efficiency, and resilience in the built environment and urban systems.
-
E.
National Academies reports
National Academies reports are authoritative, peer-reviewed studies and recommendations produced by the U.S. National Academies to inform public policy and advance science, engineering, and medicine.
- F. None of above. chosen
Provenance (5 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f30e5848190a8edcb37c356ce0a |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255522b0081909f8a02667108a6d3 |
completed | Feb. 28, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_69a255ef9b1081909fe71530250bd68b |
completed | Feb. 28, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a256c673748190abb6b556701b4a2a |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.