Triple

T8739735
Position Surface form Disambiguated ID Type / Status
Subject Tumpat E207469 entity
Predicate language P15 FINISHED
Object Standard Malay E23976 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: Standard Malay | Statement: [Tumpat, language, Standard Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Malay
Context triple: [Tumpat, language, Standard Malay]
  • A. Betawi Malay
    Betawi Malay is a Malay-based creole language spoken primarily in Jakarta, Indonesia, serving as the traditional language of the Betawi ethnic community.
  • B. Bazaar Malay
    Bazaar Malay is a historical Malay-based trade pidgin that served as a lingua franca across maritime Southeast Asia, influencing later regional varieties such as Betawi Malay.
  • C. Bruneian Malay
    Bruneian Malay are an ethnic Malay group native to Brunei and surrounding regions of Borneo, sharing a distinct Malay dialect, culture, and Islamic heritage.
  • D. Jawi Malay
    Jawi Malay is a historical form of the Malay language written in the Arabic-based Jawi script, used as a key administrative and literary medium in the Malay world.
  • E. Malay chosen
    Malay is an Austronesian language widely spoken in Southeast Asia and serves as a national or official language in several countries, including Malaysia, Indonesia (as Indonesian), Brunei, and Singapore.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d486e34819094a6c6ec26c047cf completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42e7176c819097e313ed8e8ceb06 completed April 3, 2026, 4:32 a.m.
Created at: March 30, 2026, 6:38 p.m.