Triple

T7344972
Position Surface form Disambiguated ID Type / Status
Subject Muna language E169352 entity
Predicate hasAlternateName P39 FINISHED
Object Bahasa Muna E169352 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: Bahasa Muna | Statement: [Muna language, hasAlternateName, Bahasa Muna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahasa Muna
Context triple: [Muna language, hasAlternateName, Bahasa Muna]
  • A. Muna language chosen
    The Muna language is an Austronesian language spoken primarily on Muna Island in Southeast Sulawesi, Indonesia, known for its rich verbal morphology and distinct phonological system.
  • B. Madura language
    The Madura language is an Austronesian language spoken primarily on Madura Island and in parts of East Java, Indonesia, by the Madurese people.
  • C. Munji language
    The Munji language is an Eastern Iranian language spoken by the Munji people in Afghanistan’s remote Munjan Valley, closely related to the Yidgha language of Pakistan.
  • D. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • E. Mangseng language
    The Mangseng language is an Oceanic language spoken in Papua New Guinea, belonging to the Western Bismarck subgroup of the Austronesian language family.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0eeb30081909d25704ac9b49d0e completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa8de0888190b62101471048b8e1 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.