Triple

T21721189
Position Surface form Disambiguated ID Type / Status
Subject Murutic languages E536158 entity
Predicate hasPart P35 FINISHED
Object Lun Bawang language NE NERFINISHED

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: Lun Bawang language | Statement: [Murutic languages, hasPart, Lun Bawang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lun Bawang language
Context triple: [Murutic languages, hasPart, Lun Bawang language]
  • A. Lun Bawang language chosen
    The Lun Bawang language is an Austronesian language spoken by the Lun Bawang people of northern Borneo, primarily in parts of Malaysia and Indonesia.
  • B. Bawm language
    The Bawm language is a Tibeto-Burman language spoken primarily by the Bawm ethnic community in parts of Bangladesh and neighboring regions.
  • C. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • D. Tonsawang language
    Tonsawang language is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia, and is part of the Minahasan subgroup.
  • E. Baangi language
    The Baangi language is a lesser-known Nupoid (Benue–Congo) language spoken by a small community in Nigeria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96f1fbc8190a202f834aec1a319 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.