Triple

T1333492
Position Surface form Disambiguated ID Type / Status
Subject Mak Yong E28694 entity
Predicate usesLanguage P238 FINISHED
Object Kelantanese 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: Kelantanese Malay | Statement: [Mak Yong, usesLanguage, Kelantanese Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelantanese Malay
Context triple: [Mak Yong, usesLanguage, Kelantanese 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. 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.
  • C. Kadazan Dusun language
    Kadazan Dusun is an Austronesian language spoken primarily by the Kadazan-Dusun people of Sabah, Malaysia, and is notable for its rich oral traditions and role in indigenous cultural identity.
  • D. MALAYSIAN
    MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
  • E. Old Malay
    Old Malay is an early historical form of the Malay language that served as a major lingua franca and literary language in maritime Southeast Asia.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e98900819092c54c0fb58b958a completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62978c08190be285167cf579f9f completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.