Triple

T5008554
Position Surface form Disambiguated ID Type / Status
Subject Sandakan E112556 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: [Sandakan, languageUsed, Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malay
Context triple: [Sandakan, 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72eb05f881908d7dc3d7cd07b2ae completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9266314881909dfb710c5b5c8f65 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.