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.