Triple

T21053529
Position Surface form Disambiguated ID Type / Status
Subject Guthrie Zone G40–G50 languages E518648 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Ngulu 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: Ngulu language | Statement: [Guthrie Zone G40–G50 languages, hasNotableLanguage, Ngulu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngulu language
Context triple: [Guthrie Zone G40–G50 languages, hasNotableLanguage, Ngulu language]
  • A. Ngulu language chosen
    The Ngulu language is a Bantu language spoken in parts of East Africa, particularly in Tanzania, and is part of the larger Northeast Coast Bantu subgroup.
  • B. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • C. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • D. Wuvulu-Aua language
    The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
  • E. Lulubo language
    The Lulubo language is a Nilo-Saharan language spoken by the Lulubo people of South Sudan.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.