Triple

T19962346
Position Surface form Disambiguated ID Type / Status
Subject LEED-CS E479845 entity
Predicate includesCreditCategory P59738 FINISHED
Object Energy and Atmosphere NE NERFINISHED

How this triple was built (2 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 and Atmosphere | Statement: [LEED-CS, includesCreditCategory, Energy and Atmosphere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Energy and Atmosphere
Context triple: [LEED-CS, includesCreditCategory, Energy and Atmosphere]
  • A. Energy and Atmosphere chosen
    Energy and Atmosphere is a key LEED category that focuses on optimizing building energy performance, promoting renewable energy use, and reducing greenhouse gas emissions.
  • B. Energy
    "Energy" is a song produced or co-written by Dre Moon, known for his work in contemporary hip-hop and R&B music.
  • C. Energy
    "Energy" is a studio album by the British electronic music duo Disclosure, known for its dance-oriented production and high-profile collaborations.
  • D. Earth, Energy, Environment
    Earth, Energy, Environment is the guiding motto of the Colorado School of Mines, emphasizing its focus on geosciences, energy resources, and environmental stewardship.
  • E. Energy and Environmental Engineering
    Energy and Environmental Engineering is an academic department at INSA Lyon focused on education and research in sustainable energy systems and environmental technologies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af51b4c81909ba156a489cbc551 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.