Triple

T10103506
Position Surface form Disambiguated ID Type / Status
Subject Skudai E216259 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Universiti Teknologi Malaysia E840634 NE FINISHED

How this triple was built (2 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: Universiti Teknologi Malaysia | Statement: [Skudai, hasEducationalInstitution, Universiti Teknologi Malaysia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universiti Teknologi Malaysia
Context triple: [Skudai, hasEducationalInstitution, Universiti Teknologi Malaysia]
  • A. Universiti Teknologi Malaysia chosen
    Universiti Teknologi Malaysia is a leading Malaysian public research university renowned for its engineering and technology programs.
  • B. 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.
  • C. Universiti Putra Malaysia
    Universiti Putra Malaysia is a leading Malaysian public research university renowned for its strengths in agriculture, forestry, and related scientific disciplines.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09af07c819099774af46ebf62d7 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbf9ffb88190a87833d6fe080950 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.