Triple

T2213416
Position Surface form Disambiguated ID Type / Status
Subject Department of Land Economy, University of Cambridge E50967 entity
Predicate offersProgram P178 FINISHED
Object MPhil in Land Economy
The MPhil in Land Economy is a postgraduate degree at the University of Cambridge focusing on the intersection of law, economics, and environmental policy as they relate to land, real estate, and natural resources.
E50967 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: MPhil in Land Economy | Statement: [Department of Land Economy, University of Cambridge, offersProgram, MPhil in Land Economy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPhil in Land Economy
Context triple: [Department of Land Economy, University of Cambridge, offersProgram, MPhil in Land Economy]
  • A. Department of Land Economy, University of Cambridge
    The Department of Land Economy at the University of Cambridge is an interdisciplinary academic department focusing on land, real estate, environmental policy, and spatial planning within an economics and law framework.
  • B. School of Geography and Sustainable Development
    The School of Geography and Sustainable Development is an academic department at the University of St Andrews focused on research and teaching in human and physical geography, environmental change, and sustainability.
  • C. Department of Agricultural and Resource Economics
    The Department of Agricultural and Resource Economics is an academic unit at the University of Tokyo that focuses on the economic analysis and management of agriculture, natural resources, and related rural and environmental issues.
  • D. Department of Political Economy
    The Department of Political Economy is an academic department at King’s College London focused on the interdisciplinary study of politics, economics, and public policy.
  • E. School of Economics
    The School of Economics at Osaka University is an academic faculty specializing in economic theory, policy, and related social sciences within one of Japan’s leading national universities.
  • 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: MPhil in Land Economy
Triple: [Department of Land Economy, University of Cambridge, offersProgram, MPhil in Land Economy]
Generated description
The MPhil in Land Economy is a postgraduate degree at the University of Cambridge focusing on the intersection of law, economics, and environmental policy as they relate to land, real estate, and natural resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MPhil in Land Economy
Target entity description: The MPhil in Land Economy is a postgraduate degree at the University of Cambridge focusing on the intersection of law, economics, and environmental policy as they relate to land, real estate, and natural resources.
  • A. Department of Land Economy, University of Cambridge chosen
    The Department of Land Economy at the University of Cambridge is an interdisciplinary academic department focusing on land, real estate, environmental policy, and spatial planning within an economics and law framework.
  • B. School of Geography and Sustainable Development
    The School of Geography and Sustainable Development is an academic department at the University of St Andrews focused on research and teaching in human and physical geography, environmental change, and sustainability.
  • C. Department of Agricultural and Resource Economics
    The Department of Agricultural and Resource Economics is an academic unit at the University of Tokyo that focuses on the economic analysis and management of agriculture, natural resources, and related rural and environmental issues.
  • D. Department of Political Economy
    The Department of Political Economy is an academic department at King’s College London focused on the interdisciplinary study of politics, economics, and public policy.
  • E. School of Economics
    The School of Economics at Osaka University is an academic faculty specializing in economic theory, policy, and related social sciences within one of Japan’s leading national universities.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfee6ae48190825ca792e8f99946 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6554f3308190a180cac3ad7e2ce4 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae65d419048190ad723d21ab7f1cab completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae666e71908190b50be2cac5bdfa28 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:46 p.m.