Triple

T12030852
Position Surface form Disambiguated ID Type / Status
Subject Riza Aziz E286399 entity
Predicate languageSpoken P151 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: [Riza Aziz, languageSpoken, Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malay
Context triple: [Riza Aziz, languageSpoken, Malay]
  • A. 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.
  • B. Malay
    Malay is an American record producer and songwriter best known for his work with artists like Frank Ocean, John Legend, and Zayn.
  • C. 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.
  • D. MALAYSIAN
    MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
  • E. Pahang Malay
    Pahang Malay is a regional variety of the Malay language spoken primarily in the Malaysian state of Pahang, characterized by its distinct phonology and vocabulary within the Malay dialect continuum.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d5fd0708190860201a4a8c6fe7c completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.