Triple

T6510044
Position Surface form Disambiguated ID Type / Status
Subject Maiwa language E150103 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Duri language E152164 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: Duri language | Statement: [Maiwa language, hasNeighboringLanguage, Duri language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duri language
Context triple: [Maiwa language, hasNeighboringLanguage, Duri language]
  • A. Duri language chosen
    The Duri language is an Austronesian language spoken by the Duri people of South Sulawesi, Indonesia.
  • B. Duru languages
    Duru languages are a small group of closely related Adamawa–Ubangi languages spoken primarily in northern Cameroon and eastern Nigeria.
  • C. Uduk language
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • D. Bima language
    Bima language is an Austronesian language spoken primarily on Sumbawa Island in Indonesia, known for its distinct grammar and vocabulary within the region.
  • E. Kedayan language
    The Kedayan language is an Austronesian language spoken primarily by the Kedayan people of Brunei, Sabah, and parts of Borneo, closely related to Malay and other Greater North Borneo languages.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f398f10819096342f3646cefcc2 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d50d155c81908b01914db32494d8 completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:43 p.m.