Triple
T11729979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Transportation and Air Quality |
E278871
|
entity |
| Predicate | usesInstrument |
P933
|
FINISHED |
| Object |
MOVES emissions modeling system
The MOVES emissions modeling system is a software tool developed by the U.S. Environmental Protection Agency to estimate air pollutant emissions from mobile sources such as cars, trucks, and other vehicles.
|
E942112
|
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: MOVES emissions modeling system | Statement: [Office of Transportation and Air Quality, usesInstrument, MOVES emissions modeling system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOVES emissions modeling system Context triple: [Office of Transportation and Air Quality, usesInstrument, MOVES emissions modeling system]
-
A.
CMAQ
CMAQ is a U.S. federal funding program that supports transportation projects designed to reduce traffic congestion and improve air quality.
-
B.
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.
-
C.
Goddard Earth Observing System models
The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
-
D.
Integrated Assessment Modeling Consortium
The Integrated Assessment Modeling Consortium is an international network of research teams that develop and compare models linking climate, energy, economy, and land-use systems to inform global climate policy and scenario analysis.
-
E.
EPA Allowance Tracking System
The EPA Allowance Tracking System is a federal database and accounting platform that records, tracks, and manages emissions allowances for regulated sources under U.S. air pollution control programs.
- 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: MOVES emissions modeling system Triple: [Office of Transportation and Air Quality, usesInstrument, MOVES emissions modeling system]
Generated description
The MOVES emissions modeling system is a software tool developed by the U.S. Environmental Protection Agency to estimate air pollutant emissions from mobile sources such as cars, trucks, and other vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MOVES emissions modeling system Target entity description: The MOVES emissions modeling system is a software tool developed by the U.S. Environmental Protection Agency to estimate air pollutant emissions from mobile sources such as cars, trucks, and other vehicles.
-
A.
CMAQ
CMAQ is a U.S. federal funding program that supports transportation projects designed to reduce traffic congestion and improve air quality.
-
B.
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.
-
C.
Goddard Earth Observing System models
The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
-
D.
Integrated Assessment Modeling Consortium
The Integrated Assessment Modeling Consortium is an international network of research teams that develop and compare models linking climate, energy, economy, and land-use systems to inform global climate policy and scenario analysis.
-
E.
EPA Allowance Tracking System
The EPA Allowance Tracking System is a federal database and accounting platform that records, tracks, and manages emissions allowances for regulated sources under U.S. air pollution control programs.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d80ef881908cab956787ab07fd |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83f98fc481908015df3c4e5d7ed3 |
completed | April 27, 2026, 3:42 p.m. |
| NEDg | Description generation | batch_69ef9b68309081909f3f614efeeb2ab1 |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd6aba82c81909ff22e6b26db3cfe |
completed | April 27, 2026, 9:35 p.m. |
Created at: April 8, 2026, 9:41 p.m.