Triple

T9502393
Position Surface form Disambiguated ID Type / Status
Subject Iskandar Malaysia E229174 entity
Predicate languageUsed P238 FINISHED
Object 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: Malay | Statement: [Iskandar Malaysia, languageUsed, Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malay
Context triple: [Iskandar Malaysia, languageUsed, Malay]
  • A. 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.
  • B. Malay
    Malay refers to an Austronesian ethnic group native to the Malay Peninsula and parts of Southeast Asia, sharing a common language, culture, and Islamic heritage.
  • C. MALAYSIAN
    MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
  • D. 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.
  • E. Sarawak Malay
    Sarawak Malay is a regional variety of the Malay language spoken primarily in the Malaysian state of Sarawak, distinguished by its unique vocabulary, pronunciation, and grammatical features.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983ea6048190a2d7924c8e6d1fbc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139f7fa90819092e3fbcc62a9e5b9 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.