Triple

T19495616
Position Surface form Disambiguated ID Type / Status
Subject Vaeakau-Taumako language E487760 entity
Predicate hasNeighbouringLanguage P16383 FINISHED
Object Äiwoo 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: Äiwoo language | Statement: [Vaeakau-Taumako language, hasNeighbouringLanguage, Äiwoo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Äiwoo language
Context triple: [Vaeakau-Taumako language, hasNeighbouringLanguage, Äiwoo language]
  • A. Äiwoo language chosen
    Äiwoo is an Oceanic language spoken primarily on the Reef Islands in Temotu Province of the Solomon Islands.
  • B. Iaai language
    The Iaai language is an Oceanic language spoken primarily on Ouvéa Island in New Caledonia, known for its complex phonology and distinctive vowel system.
  • C. Aaniiih language
    The Aaniiih language is an Algonquian language traditionally spoken by the Aaniiih (Gros Ventre) people of the northern Plains in the United States and is currently endangered.
  • D. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • E. Avokaya language
    The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6349182ec81908dd301f802530eec completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.