Triple

T8838802
Position Surface form Disambiguated ID Type / Status
Subject Universiti Kebangsaan Malaysia E210333 entity
Predicate englishName P3437 FINISHED
Object National University of Malaysia
The National University of Malaysia is a leading Malaysian public research university known for its strong emphasis on national identity, Malay language scholarship, and comprehensive academic programs across diverse disciplines.
 E765446 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: National University of Malaysia | Statement: [Universiti Kebangsaan Malaysia, englishName, National University of Malaysia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National University of Malaysia
Context triple: [Universiti Kebangsaan Malaysia, englishName, National University of Malaysia]
  • A. Universiti Kuala Lumpur
    Universiti Kuala Lumpur is a leading Malaysian technical university known for its industry-focused engineering and technology programs based in the capital city, Kuala Lumpur.
  • B. Universiti Teknologi MARA
    Universiti Teknologi MARA is a major Malaysian public university and one of the country’s largest institutions of higher learning, known for providing accessible education primarily to Bumiputera students across multiple campuses nationwide.
  • C. Universiti Malaysia Sabah
    Universiti Malaysia Sabah is a public university in the Malaysian state of Sabah known for its scenic coastal campus and focus on environmental, marine, and Bornean studies.
  • D. Sunway University (Malaysia)
    Sunway University is a leading private Malaysian university in Subang Jaya known for its strong industry links, international partnerships, and emphasis on research and quality teaching.
  • E. Universiti Putra Malaysia
    Universiti Putra Malaysia is a leading Malaysian public research university renowned for its strengths in agriculture, forestry, and related scientific disciplines.
  • 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: National University of Malaysia
Triple: [Universiti Kebangsaan Malaysia, englishName, National University of Malaysia]
Generated description
The National University of Malaysia is a leading Malaysian public research university known for its strong emphasis on national identity, Malay language scholarship, and comprehensive academic programs across diverse disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: National University of Malaysia
Target entity description: The National University of Malaysia is a leading Malaysian public research university known for its strong emphasis on national identity, Malay language scholarship, and comprehensive academic programs across diverse disciplines.
  • A. Universiti Kuala Lumpur
    Universiti Kuala Lumpur is a leading Malaysian technical university known for its industry-focused engineering and technology programs based in the capital city, Kuala Lumpur.
  • B. Universiti Teknologi MARA
    Universiti Teknologi MARA is a major Malaysian public university and one of the country’s largest institutions of higher learning, known for providing accessible education primarily to Bumiputera students across multiple campuses nationwide.
  • C. Universiti Malaysia Sabah
    Universiti Malaysia Sabah is a public university in the Malaysian state of Sabah known for its scenic coastal campus and focus on environmental, marine, and Bornean studies.
  • D. Sunway University (Malaysia)
    Sunway University is a leading private Malaysian university in Subang Jaya known for its strong industry links, international partnerships, and emphasis on research and quality teaching.
  • E. Universiti Putra Malaysia
    Universiti Putra Malaysia is a leading Malaysian public research university renowned for its strengths in agriculture, forestry, and related scientific disciplines.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606c60ac8190b2b6bd7f042c02f8 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba0934288190bc22dfee0a13124e completed April 3, 2026, 1 p.m.
NEDg Description generation batch_69cfba894b008190ab6aca359ff78d15 completed April 3, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfbaffc35c8190afe8192217ecd746 completed April 3, 2026, 1:05 p.m.
Created at: March 30, 2026, 6:48 p.m.