Triple

T6296015
Position Surface form Disambiguated ID Type / Status
Subject Murut people E141132 entity
Predicate traditionalLanguage P6149 FINISHED
Object Tagol Murut language E528642 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: Tagol Murut language | Statement: [Murut people, traditionalLanguage, Tagol Murut language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagol Murut language
Context triple: [Murut people, traditionalLanguage, Tagol Murut language]
  • A. Murut language chosen
    The Murut language is an Austronesian language spoken primarily by the Murut people of northern Borneo, especially in Sabah, Malaysia, and parts of neighboring regions.
  • B. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • C. Mumuye language
    The Mumuye language is a Niger-Congo language spoken primarily by the Mumuye people in northeastern Nigeria.
  • D. 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.
  • E. 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.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e41fb4708190b6b1433e27c9276e completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:27 p.m.