Triple

T7313450
Position Surface form Disambiguated ID Type / Status
Subject Palembang Malay E168150 entity
Predicate closelyRelatedTo P37 FINISHED
Object Musi language E397039 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: Musi language | Statement: [Palembang Malay, closelyRelatedTo, Musi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musi language
Context triple: [Palembang Malay, closelyRelatedTo, Musi language]
  • A. Musi language chosen
    Musi language is an Austronesian language spoken primarily in South Sumatra, Indonesia, especially around the city of Palembang and along the Musi River.
  • B. Muya language
    The Muya language is a lesser-known Sino-Tibetan language spoken by the Muya people in parts of Sichuan, China, noted for its complex phonology and endangered status.
  • 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. Moru language
    The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
  • E. Lusi language
    The Lusi 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec02319c819096d25e3683943886 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56f4aa0819096d955e2ce298299 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:02 p.m.