Triple

T9275949
Position Surface form Disambiguated ID Type / Status
Subject Institute of Ecology and Earth Sciences, University of Tartu E222947 entity
Predicate hasUnit P35 FINISHED
Object Department of Botany, University of Tartu
The Department of Botany at the University of Tartu is an academic unit specializing in plant biology research and education, including areas such as taxonomy, ecology, and conservation of flora.
E787975 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 Botany, University of Tartu | Statement: [Institute of Ecology and Earth Sciences, University of Tartu, hasUnit, Department of Botany, University of Tartu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Botany, University of Tartu
Context triple: [Institute of Ecology and Earth Sciences, University of Tartu, hasUnit, Department of Botany, University of Tartu]
  • A. Institute of Ecology and Earth Sciences, University of Tartu
    The Institute of Ecology and Earth Sciences at the University of Tartu is a research and teaching unit specializing in ecology, environmental science, geology, and related Earth system studies.
  • B. Institute of Molecular and Cell Biology, University of Tartu
    The Institute of Molecular and Cell Biology at the University of Tartu is a research and teaching center focused on molecular biology, genetics, and cell biology within the university’s Faculty of Science and Technology.
  • C. Institute of Chemistry, University of Tartu
    The Institute of Chemistry at the University of Tartu is a major academic and research unit specializing in chemical sciences, offering education and conducting research across areas such as organic, inorganic, physical, and analytical chemistry.
  • D. Institute of Mathematics and Statistics, University of Tartu
    The Institute of Mathematics and Statistics at the University of Tartu is an academic unit specializing in research and education in mathematics, statistics, and related fields within Estonia’s leading university.
  • E. Estonian University of Life Sciences
    The Estonian University of Life Sciences is a public university specializing in agriculture, forestry, environmental science, and rural development.
  • 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 Botany, University of Tartu
Triple: [Institute of Ecology and Earth Sciences, University of Tartu, hasUnit, Department of Botany, University of Tartu]
Generated description
The Department of Botany at the University of Tartu is an academic unit specializing in plant biology research and education, including areas such as taxonomy, ecology, and conservation of flora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Botany, University of Tartu
Target entity description: The Department of Botany at the University of Tartu is an academic unit specializing in plant biology research and education, including areas such as taxonomy, ecology, and conservation of flora.
  • A. Institute of Ecology and Earth Sciences, University of Tartu
    The Institute of Ecology and Earth Sciences at the University of Tartu is a research and teaching unit specializing in ecology, environmental science, geology, and related Earth system studies.
  • B. Institute of Molecular and Cell Biology, University of Tartu
    The Institute of Molecular and Cell Biology at the University of Tartu is a research and teaching center focused on molecular biology, genetics, and cell biology within the university’s Faculty of Science and Technology.
  • C. Institute of Chemistry, University of Tartu
    The Institute of Chemistry at the University of Tartu is a major academic and research unit specializing in chemical sciences, offering education and conducting research across areas such as organic, inorganic, physical, and analytical chemistry.
  • D. Institute of Mathematics and Statistics, University of Tartu
    The Institute of Mathematics and Statistics at the University of Tartu is an academic unit specializing in research and education in mathematics, statistics, and related fields within Estonia’s leading university.
  • E. Estonian University of Life Sciences
    The Estonian University of Life Sciences is a public university specializing in agriculture, forestry, environmental science, and rural development.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07c71b5c8190b5b7b5ab4224e9d3 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c3dd140819099fc0e95c4d48ba9 completed April 4, 2026, 5:06 a.m.
NEDg Description generation batch_69d09cf1f2f48190b53e062c3eb4565d completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09d9739d48190ac3b240390f36c38 completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:34 p.m.