Triple

T8751184
Position Surface form Disambiguated ID Type / Status
Subject Proto-Barito E207958 entity
Predicate ancestorOf P369 FINISHED
Object Dusun Witu language E207955 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: Dusun Witu language | Statement: [Proto-Barito, ancestorOf, Dusun Witu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dusun Witu language
Context triple: [Proto-Barito, ancestorOf, Dusun Witu language]
  • A. Dusun Witu language chosen
    Dusun Witu is an Austronesian language of the Barito group spoken by the Dusun Witu people in Kalimantan, Indonesia.
  • B. Wawonii language
    The Wawonii language is an Austronesian language spoken on Wawonii Island in Southeast Sulawesi, Indonesia, and is part of the Bungku–Tolaki language group.
  • C. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • D. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • E. Nyaturu language
    The Nyaturu language is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f0524e08190bc5ba6cda2e2e4fa completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:39 p.m.