Triple

T13491370
Position Surface form Disambiguated ID Type / Status
Subject Energy Star program E318638 entity
Predicate relatedTo P37 FINISHED
Object ENERGY STAR Challenge for Industry
The ENERGY STAR Challenge for Industry is a voluntary U.S. EPA initiative that encourages industrial facilities to significantly improve their energy efficiency and reduce greenhouse gas emissions.
E318638 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: ENERGY STAR Challenge for Industry | Statement: [Energy Star program, relatedTo, ENERGY STAR Challenge for Industry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ENERGY STAR Challenge for Industry
Context triple: [Energy Star program, relatedTo, ENERGY STAR Challenge for Industry]
  • A. Energy Management and Innovation Center
    The Energy Management and Innovation Center is a research and educational hub at the McCombs School of Business focused on advancing leadership, strategy, and innovation in the global energy industry.
  • B. Energy Star program
    The Energy Star program is a U.S. government-backed initiative that identifies and promotes energy-efficient products and practices to help consumers and businesses save energy and reduce greenhouse gas emissions.
  • C. Energy Efficiency in Buildings initiative
    The Energy Efficiency in Buildings initiative is a program focused on reducing energy consumption and carbon emissions in the built environment through improved building design, retrofits, and operational practices.
  • D. Low-Carbon Energy Centers
    Low-Carbon Energy Centers are specialized MIT Energy Initiative research hubs focused on advancing technologies and strategies to reduce greenhouse gas emissions across key sectors of the energy system.
  • E. Appliance Efficiency Regulations (Title 20)
    Appliance Efficiency Regulations (Title 20) are California’s statewide standards that set minimum energy and water efficiency requirements for appliances sold or offered for sale in the state.
  • 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: ENERGY STAR Challenge for Industry
Triple: [Energy Star program, relatedTo, ENERGY STAR Challenge for Industry]
Generated description
The ENERGY STAR Challenge for Industry is a voluntary U.S. EPA initiative that encourages industrial facilities to significantly improve their energy efficiency and reduce greenhouse gas emissions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ENERGY STAR Challenge for Industry
Target entity description: The ENERGY STAR Challenge for Industry is a voluntary U.S. EPA initiative that encourages industrial facilities to significantly improve their energy efficiency and reduce greenhouse gas emissions.
  • A. Energy Management and Innovation Center
    The Energy Management and Innovation Center is a research and educational hub at the McCombs School of Business focused on advancing leadership, strategy, and innovation in the global energy industry.
  • B. Energy Star program chosen
    The Energy Star program is a U.S. government-backed initiative that identifies and promotes energy-efficient products and practices to help consumers and businesses save energy and reduce greenhouse gas emissions.
  • C. Energy Efficiency in Buildings initiative
    The Energy Efficiency in Buildings initiative is a program focused on reducing energy consumption and carbon emissions in the built environment through improved building design, retrofits, and operational practices.
  • D. Low-Carbon Energy Centers
    Low-Carbon Energy Centers are specialized MIT Energy Initiative research hubs focused on advancing technologies and strategies to reduce greenhouse gas emissions across key sectors of the energy system.
  • E. Appliance Efficiency Regulations (Title 20)
    Appliance Efficiency Regulations (Title 20) are California’s statewide standards that set minimum energy and water efficiency requirements for appliances sold or offered for sale in the state.
  • F. None of above.

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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf4c66008190b287e0551889d7c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463b758c8190abc0dd2a049d751e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74d048250819098baf78ff08c1633 completed May 3, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69f750f7f11481908c60b49eef65b63f completed May 3, 2026, 1:43 p.m.
Created at: April 9, 2026, 9:43 p.m.