Triple

T21628332
Position Surface form Disambiguated ID Type / Status
Subject Sheikh Muszaphar Shukor E533760 entity
Predicate employer P7 FINISHED
Object Universiti Kebangsaan Malaysia NE NERFINISHED

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 Kebangsaan Malaysia | Statement: [Sheikh Muszaphar Shukor, employer, Universiti Kebangsaan Malaysia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universiti Kebangsaan Malaysia
Context triple: [Sheikh Muszaphar Shukor, employer, Universiti Kebangsaan Malaysia]
  • A. National University of Malaysia chosen
    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.
  • B. 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.
  • C. 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.
  • D. Universiti Teknologi Malaysia
    Universiti Teknologi Malaysia is a leading Malaysian public research university renowned for its engineering and technology programs.
  • E. Universiti Tunku Abdul Rahman
    Universiti Tunku Abdul Rahman is a prominent private university in Malaysia known for its comprehensive academic programs and multiple campuses, including its main campus in Kampar, Perak.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5214e72c8190af109089f58fca4f completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.