Triple

T10490333
Position Surface form Disambiguated ID Type / Status
Subject Daju languages E247399 entity
Predicate hasPart P35 FINISHED
Object Njalgulgule language (Daju) E247232 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: Njalgulgule language (Daju) | Statement: [Daju languages, hasPart, Njalgulgule language (Daju)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Njalgulgule language (Daju)
Context triple: [Daju languages, hasPart, Njalgulgule language (Daju)]
  • A. Gule language chosen
    The Gule language is an endangered Nilo-Saharan language formerly spoken by a small ethnic group in the border region of Sudan and Ethiopia.
  • B. Ngada language
    The Ngada language is an Austronesian language spoken by the Ngada people in central Flores, Indonesia, known for its complex verbal morphology and rich oral tradition.
  • C. Ngaju language
    The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
  • D. Baliledu language
    The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
  • E. Kalanga language
    The Kalanga language is a Bantu language spoken primarily by the Kalanga people in parts of Botswana and southwestern Zimbabwe.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.