Triple

T12599537
Position Surface form Disambiguated ID Type / Status
Subject University of Oxford Faculty of Mathematical, Physical and Life Sciences E300819 entity
Predicate hasUnit P35 FINISHED
Object Department of Earth Sciences, University of Oxford
The Department of Earth Sciences at the University of Oxford is a leading academic and research department focused on the study of the Earth’s structure, processes, history, and resources.
E991874 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: Department of Earth Sciences, University of Oxford | Statement: [University of Oxford Faculty of Mathematical, Physical and Life Sciences, hasUnit, Department of Earth Sciences, University of Oxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Earth Sciences, University of Oxford
Context triple: [University of Oxford Faculty of Mathematical, Physical and Life Sciences, hasUnit, Department of Earth Sciences, University of Oxford]
  • A. Department of Earth Sciences, University of Cambridge
    The Department of Earth Sciences at the University of Cambridge is a leading academic and research institution focused on geology, geophysics, geochemistry, and related Earth and planetary sciences.
  • B. School of Earth Sciences, University of Bristol
    The School of Earth Sciences at the University of Bristol is a leading academic department specializing in research and teaching on geology, geophysics, climate, and the processes shaping the Earth and other planets.
  • C. Department of Earth Science and Engineering, Imperial College London
    The Department of Earth Science and Engineering at Imperial College London is a leading academic department specializing in geoscience, engineering geology, and related disciplines, known for its research and teaching on Earth processes, resources, and environmental challenges.
  • D. Department of Earth Sciences
    The Department of Earth Sciences at Royal Holloway, University of London is an academic department focused on teaching and research in geology, geophysics, and related Earth and environmental sciences.
  • E. Department of Earth Sciences
    The Department of Earth Sciences is an academic unit focused on studying the structure, processes, and history of the Earth, typically encompassing fields such as geology, geophysics, and geochemistry.
  • 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: Department of Earth Sciences, University of Oxford
Triple: [University of Oxford Faculty of Mathematical, Physical and Life Sciences, hasUnit, Department of Earth Sciences, University of Oxford]
Generated description
The Department of Earth Sciences at the University of Oxford is a leading academic and research department focused on the study of the Earth’s structure, processes, history, and resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Earth Sciences, University of Oxford
Target entity description: The Department of Earth Sciences at the University of Oxford is a leading academic and research department focused on the study of the Earth’s structure, processes, history, and resources.
  • A. Department of Earth Sciences, University of Cambridge
    The Department of Earth Sciences at the University of Cambridge is a leading academic and research institution focused on geology, geophysics, geochemistry, and related Earth and planetary sciences.
  • B. School of Earth Sciences, University of Bristol
    The School of Earth Sciences at the University of Bristol is a leading academic department specializing in research and teaching on geology, geophysics, climate, and the processes shaping the Earth and other planets.
  • C. Department of Earth Science and Engineering, Imperial College London
    The Department of Earth Science and Engineering at Imperial College London is a leading academic department specializing in geoscience, engineering geology, and related disciplines, known for its research and teaching on Earth processes, resources, and environmental challenges.
  • D. Department of Earth Sciences
    The Department of Earth Sciences at Royal Holloway, University of London is an academic department focused on teaching and research in geology, geophysics, and related Earth and environmental sciences.
  • E. Department of Earth Sciences
    The Department of Earth Sciences is an academic unit focused on studying the structure, processes, and history of the Earth, typically encompassing fields such as geology, geophysics, and geochemistry.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d096d08190afa1f685bad68d35 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec92c6c8190bd2d193e70940407 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
Created at: April 9, 2026, 5:09 p.m.