Triple

T13986865
Position Surface form Disambiguated ID Type / Status
Subject School of Oceanography, University of Washington E336462 entity
Predicate affiliation P10 FINISHED
Object College of the Environment, University of Washington
The College of the Environment at the University of Washington is an interdisciplinary academic division that brings together programs in oceanography, atmospheric sciences, earth and space sciences, environmental studies, and related fields to advance research and education on environmental and sustainability issues.
E1073444 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: College of the Environment, University of Washington | Statement: [School of Oceanography, University of Washington, affiliation, College of the Environment, University of Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of the Environment, University of Washington
Context triple: [School of Oceanography, University of Washington, affiliation, College of the Environment, University of Washington]
  • A. Stanford Woods Institute for the Environment
    Stanford Woods Institute for the Environment is an interdisciplinary Stanford University research center focused on developing practical, science-based solutions to major environmental and sustainability challenges.
  • B. Yale School of the Environment
    Yale School of the Environment is a graduate professional school at Yale University specializing in environmental science, policy, and management education and research.
  • C. Bren School of Environmental Science & Management at UC Santa Barbara
    The Bren School of Environmental Science & Management at UC Santa Barbara is a graduate professional school renowned for its interdisciplinary training and research in environmental science, policy, and management.
  • D. Columbia Climate School
    Columbia Climate School is a Columbia University institution dedicated to research, education, and solutions on climate change and sustainability.
  • E. School of Oceanography, University of Washington
    The School of Oceanography at the University of Washington is a leading academic and research institution focused on marine science, oceanography, and related environmental studies.
  • 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: College of the Environment, University of Washington
Triple: [School of Oceanography, University of Washington, affiliation, College of the Environment, University of Washington]
Generated description
The College of the Environment at the University of Washington is an interdisciplinary academic division that brings together programs in oceanography, atmospheric sciences, earth and space sciences, environmental studies, and related fields to advance research and education on environmental and sustainability issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of the Environment, University of Washington
Target entity description: The College of the Environment at the University of Washington is an interdisciplinary academic division that brings together programs in oceanography, atmospheric sciences, earth and space sciences, environmental studies, and related fields to advance research and education on environmental and sustainability issues.
  • A. Stanford Woods Institute for the Environment
    Stanford Woods Institute for the Environment is an interdisciplinary Stanford University research center focused on developing practical, science-based solutions to major environmental and sustainability challenges.
  • B. Yale School of the Environment
    Yale School of the Environment is a graduate professional school at Yale University specializing in environmental science, policy, and management education and research.
  • C. Bren School of Environmental Science & Management at UC Santa Barbara
    The Bren School of Environmental Science & Management at UC Santa Barbara is a graduate professional school renowned for its interdisciplinary training and research in environmental science, policy, and management.
  • D. Columbia Climate School
    Columbia Climate School is a Columbia University institution dedicated to research, education, and solutions on climate change and sustainability.
  • E. School of Oceanography, University of Washington
    The School of Oceanography at the University of Washington is a leading academic and research institution focused on marine science, oceanography, and related environmental studies.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea537408190bb9d35963886803f completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9604cc819088cde0ad8271ad48 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbad35be6c8190aa329fa947cbdcd9 completed May 6, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69fbae42ef2c8190b653d95de94042bc completed May 6, 2026, 9:10 p.m.
Created at: April 9, 2026, 10:18 p.m.