Triple

T8555021
Position Surface form Disambiguated ID Type / Status
Subject Malay E202542 entity
Predicate cultureArea P1968 FINISHED
Object Malay world E28690 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 world | Statement: [Malay, cultureArea, Malay world]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malay world
Context triple: [Malay, cultureArea, Malay world]
  • A. Malay world chosen
    The Malay world is a cultural and historical region of Maritime Southeast Asia encompassing areas where Malay peoples and related Austronesian groups have traditionally lived and shared linguistic, religious, and social traditions.
  • B. Alam Melayu
    Alam Melayu refers to the cultural and historical Malay world encompassing the Malay-speaking peoples and regions of Maritime Southeast Asia.
  • C. West Malaysia
    West Malaysia is the peninsular region of Malaysia on the Asian mainland, comprising 11 states and the federal territories of Kuala Lumpur and Putrajaya.
  • D. MALAYSIAN
    MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
  • E. East Malaysia
    East Malaysia is the portion of Malaysia located on the island of Borneo, comprising the states of Sabah and Sarawak and the federal territory of Labuan.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe88a936c8190a0234bf7da2ff55a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dd67d288190a147562a99ecde56 completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:19 p.m.