Triple

T18572467
Position Surface form Disambiguated ID Type / Status
Subject Utusan Melayu E453902 entity
Predicate hasEdition P35 FINISHED
Object Utusan 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: Utusan Malaysia | Statement: [Utusan Melayu, hasEdition, Utusan Malaysia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utusan Malaysia
Context triple: [Utusan Melayu, hasEdition, Utusan Malaysia]
  • A. Utusan Melayu chosen
    Utusan Melayu is a historic Malay-language newspaper that became one of the most influential media voices in Malaya and later Malaysia.
  • B. NI Malaysia
    NI Malaysia is the Malaysian branch of National Instruments, providing test, measurement, and automation hardware, software, and engineering services to customers in the region.
  • C. KPJ
    KPJ is the abbreviation for the Communist Party of Yugoslavia, the former ruling Marxist–Leninist political party that governed socialist Yugoslavia for much of the 20th century.
  • D. Jakarta Mail
    Jakarta Mail is the Jakarta EE specification that defines a standard API for creating, sending, and receiving email in Java applications.
  • E. Malay Wikinews
    Malay Wikinews is the Malay-language edition of the Wikinews project, offering collaboratively written, free-content news articles for Malay-speaking audiences.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53b032488819098de683bb5c42c4b completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:43 a.m.