Triple

T6680902
Position Surface form Disambiguated ID Type / Status
Subject UCSB Library E151975 entity
Predicate hasPart P35 FINISHED
Object Interdisciplinary Research Collaboratory
The Interdisciplinary Research Collaboratory is a UCSB Library hub that provides advanced data, visualization, and digital scholarship support for cross-disciplinary research and teaching.
E612185 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: Interdisciplinary Research Collaboratory | Statement: [UCSB Library, hasPart, Interdisciplinary Research Collaboratory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interdisciplinary Research Collaboratory
Context triple: [UCSB Library, hasPart, Interdisciplinary Research Collaboratory]
  • A. Multidisciplinary University Research Initiative
    The Multidisciplinary University Research Initiative is a U.S. Department of Defense program that funds long-term, large-scale university research projects involving teams from multiple disciplines to address complex scientific and engineering challenges.
  • B. Centre for Collaboration with Research Networks
    The Centre for Collaboration with Research Networks is a unit within the Norwegian Institute of Public Health that supports, coordinates, and strengthens national and international research collaborations in public health.
  • C. Centre for International Collaboration
    The Centre for International Collaboration is a unit within the Norwegian Institute of Public Health that coordinates and advances its global health partnerships, research, and capacity-building activities.
  • D. High Performance Computing Collaboratory
    The High Performance Computing Collaboratory is a major research center specializing in advanced computational science and engineering, supporting large-scale simulations and high-performance computing applications across diverse scientific and industrial domains.
  • E. Centre for Collaboration with Collaboration Networks
    The Centre for Collaboration with Collaboration Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on fostering and coordinating research and knowledge-sharing partnerships across public health networks.
  • 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: Interdisciplinary Research Collaboratory
Triple: [UCSB Library, hasPart, Interdisciplinary Research Collaboratory]
Generated description
The Interdisciplinary Research Collaboratory is a UCSB Library hub that provides advanced data, visualization, and digital scholarship support for cross-disciplinary research and teaching.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Interdisciplinary Research Collaboratory
Target entity description: The Interdisciplinary Research Collaboratory is a UCSB Library hub that provides advanced data, visualization, and digital scholarship support for cross-disciplinary research and teaching.
  • A. Multidisciplinary University Research Initiative
    The Multidisciplinary University Research Initiative is a U.S. Department of Defense program that funds long-term, large-scale university research projects involving teams from multiple disciplines to address complex scientific and engineering challenges.
  • B. Centre for Collaboration with Research Networks
    The Centre for Collaboration with Research Networks is a unit within the Norwegian Institute of Public Health that supports, coordinates, and strengthens national and international research collaborations in public health.
  • C. Centre for International Collaboration
    The Centre for International Collaboration is a unit within the Norwegian Institute of Public Health that coordinates and advances its global health partnerships, research, and capacity-building activities.
  • D. High Performance Computing Collaboratory
    The High Performance Computing Collaboratory is a major research center specializing in advanced computational science and engineering, supporting large-scale simulations and high-performance computing applications across diverse scientific and industrial domains.
  • E. Centre for Collaboration with Collaboration Networks
    The Centre for Collaboration with Collaboration Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on fostering and coordinating research and knowledge-sharing partnerships across public health networks.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b11f945481908e1a9f0839c35b5b completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7ac6714819081966dea66b590c1 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6fa1afd7081908c45b5a4f1f4d117 completed March 27, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69c6faa38df0819095d1479ccab03c56 completed March 27, 2026, 9:46 p.m.
Created at: March 27, 2026, 2:04 p.m.