Triple

T5584213
Position Surface form Disambiguated ID Type / Status
Subject Nendo Island E146713 entity
Predicate hasLanguage P15 FINISHED
Object Äiwoo language E487757 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: Äiwoo language | Statement: [Nendo Island, hasLanguage, Äiwoo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Äiwoo language
Context triple: [Nendo Island, hasLanguage, 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 (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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02084b5f0819089b62283c57704ec completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02862bd048190b9db0fd3f3562da2 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.