Triple

T9126060
Position Surface form Disambiguated ID Type / Status
Subject Myanmar public university system E218969 entity
Predicate includes P1393 FINISHED
Object University of Forestry and Environmental Science, Yezin
The University of Forestry and Environmental Science, Yezin is a specialized higher education institution in Myanmar focused on forestry, environmental science, and natural resource management.
E779700 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: University of Forestry and Environmental Science, Yezin | Statement: [Myanmar public university system, includes, University of Forestry and Environmental Science, Yezin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Forestry and Environmental Science, Yezin
Context triple: [Myanmar public university system, includes, University of Forestry and Environmental Science, Yezin]
  • A. Faculty of Forestry and Environment
    The Faculty of Forestry and Environment is an academic unit of IPB University in Indonesia specializing in education and research on forest science, natural resource management, and environmental sustainability.
  • B. Yangon Technological University
    Yangon Technological University is a leading engineering and technology-focused higher education institution in Myanmar, known for training the country’s technical and industrial workforce.
  • C. Institute of Forestry
    The Institute of Forestry is a specialized academic and research institution in Nepal focused on forestry, natural resource management, and environmental sciences under Tribhuvan University.
  • D. Faculty of Forestry
    The Faculty of Forestry at the University of British Columbia is a leading academic unit specializing in forest sciences, conservation, and sustainable natural resource management.
  • E. Faculty of Forestry
    The Faculty of Forestry is an academic unit of Hasanuddin University in Indonesia that focuses on education and research in forestry, natural resources, and environmental management.
  • 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: University of Forestry and Environmental Science, Yezin
Triple: [Myanmar public university system, includes, University of Forestry and Environmental Science, Yezin]
Generated description
The University of Forestry and Environmental Science, Yezin is a specialized higher education institution in Myanmar focused on forestry, environmental science, and natural resource management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Forestry and Environmental Science, Yezin
Target entity description: The University of Forestry and Environmental Science, Yezin is a specialized higher education institution in Myanmar focused on forestry, environmental science, and natural resource management.
  • A. Faculty of Forestry and Environment
    The Faculty of Forestry and Environment is an academic unit of IPB University in Indonesia specializing in education and research on forest science, natural resource management, and environmental sustainability.
  • B. Yangon Technological University
    Yangon Technological University is a leading engineering and technology-focused higher education institution in Myanmar, known for training the country’s technical and industrial workforce.
  • C. Institute of Forestry
    The Institute of Forestry is a specialized academic and research institution in Nepal focused on forestry, natural resource management, and environmental sciences under Tribhuvan University.
  • D. Faculty of Forestry
    The Faculty of Forestry is an academic unit of Gadjah Mada University in Indonesia that focuses on education and research in forestry, natural resources, and environmental management.
  • E. Faculty of Forestry
    The Faculty of Forestry at the University of British Columbia is a leading academic unit specializing in forest sciences, conservation, and sustainable natural resource management.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b8970881909c3b2c67fc131627 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a1042c8190a31c76638a95a2cf completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d0318ef52c8190bfa0bef6a8d41daa completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d03571c4648190bd546152c61c55a5 completed April 3, 2026, 9:47 p.m.
Created at: March 30, 2026, 7:17 p.m.