Triple

T13356482
Position Surface form Disambiguated ID Type / Status
Subject Baining people E318705 entity
Predicate usesLanguage P238 FINISHED
Object Ura language E649682 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: Ura language | Statement: [Baining people, usesLanguage, Ura language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ura language
Context triple: [Baining people, usesLanguage, Ura language]
  • A. Ura language chosen
    Ura language is an endangered Oceanic language traditionally spoken by a small community on the island of Erromango in Vanuatu.
  • B. Uro language
    Uro language is a lesser-known Niger-Congo language spoken in Nigeria, classified within the Oko language group.
  • C. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • D. Uruangnirin language
    The Uruangnirin language is an Austronesian language spoken by a small community in eastern Indonesia, likely on or near the islands off the coast of West New Guinea.
  • E. Úrhobo language
    Úrhobo language is a South-Western Edoid language spoken primarily by the Urhobo people in southern Nigeria.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd4cb008190af99c4856e76ac08 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72675c87c8190b26991b55092c444 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:32 p.m.