Triple

T7458471
Position Surface form Disambiguated ID Type / Status
Subject Grant Museum of Zoology E176184 entity
Predicate affiliation P10 FINISHED
Object UCL Faculty of Life Sciences
UCL Faculty of Life Sciences is a major academic division of University College London focused on research and teaching in biological, biomedical, and life sciences disciplines.
 E665204 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: UCL Faculty of Life Sciences | Statement: [Grant Museum of Zoology, affiliation, UCL Faculty of Life Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UCL Faculty of Life Sciences
Context triple: [Grant Museum of Zoology, affiliation, UCL Faculty of Life Sciences]
  • A. UCL Division of Biosciences
    UCL Division of Biosciences is a major academic department at University College London focused on research and teaching across the biological and life sciences.
  • B. UCL Wolfson Institute for Biomedical Research
    The UCL Wolfson Institute for Biomedical Research is a leading research institute at University College London focused on advancing understanding of human disease and translating basic biomedical discoveries into new therapies.
  • C. University College London
    University College London is a major public research university in London renowned for its multidisciplinary teaching, pioneering research, and global academic influence.
  • D. UCL Institute of Structural and Molecular Biology
    The UCL Institute of Structural and Molecular Biology is a research and teaching institute specializing in understanding biological processes at the molecular and atomic levels through structural and molecular biology approaches.
  • E. UCL Laboratory for Molecular Cell Biology
    UCL Laboratory for Molecular Cell Biology is a research and teaching institute at University College London focused on understanding cellular and molecular mechanisms underlying health and disease.
  • 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: UCL Faculty of Life Sciences
Triple: [Grant Museum of Zoology, affiliation, UCL Faculty of Life Sciences]
Generated description
UCL Faculty of Life Sciences is a major academic division of University College London focused on research and teaching in biological, biomedical, and life sciences disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UCL Faculty of Life Sciences
Target entity description: UCL Faculty of Life Sciences is a major academic division of University College London focused on research and teaching in biological, biomedical, and life sciences disciplines.
  • A. UCL Division of Biosciences chosen
    UCL Division of Biosciences is a major academic department at University College London focused on research and teaching across the biological and life sciences.
  • B. UCL Wolfson Institute for Biomedical Research
    The UCL Wolfson Institute for Biomedical Research is a leading research institute at University College London focused on advancing understanding of human disease and translating basic biomedical discoveries into new therapies.
  • C. University College London
    University College London is a major public research university in London renowned for its multidisciplinary teaching, pioneering research, and global academic influence.
  • D. UCL Institute of Structural and Molecular Biology
    The UCL Institute of Structural and Molecular Biology is a research and teaching institute specializing in understanding biological processes at the molecular and atomic levels through structural and molecular biology approaches.
  • E. UCL Laboratory for Molecular Cell Biology
    UCL Laboratory for Molecular Cell Biology is a research and teaching institute at University College London focused on understanding cellular and molecular mechanisms underlying health and disease.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3b1f18881908140a6191d5478b5 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c5bab90819093431470e0e8c0e3 completed March 28, 2026, 8:38 p.m.
NEDg Description generation batch_69c83e6bad30819094aeca19d5bcaa0c completed March 28, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69c83f1e257c8190b027a15a132bc2d1 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:35 p.m.