Triple

T5635790
Position Surface form Disambiguated ID Type / Status
Subject Toqabaqita E147944 entity
Predicate closelyRelatedTo P37 FINISHED
Object Kwaio language E179008 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: Kwaio language | Statement: [Toqabaqita, closelyRelatedTo, Kwaio language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwaio language
Context triple: [Toqabaqita, closelyRelatedTo, Kwaio language]
  • A. Kwaio language chosen
    The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
  • B. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • C. Kwa languages
    Kwa languages are a major branch of the Niger-Congo language family spoken primarily in southern West Africa, including parts of Ghana, Côte d’Ivoire, Togo, and Benin.
  • D. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • E. Waigali language
    The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226286208190b6ccf036cc09fe82 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d6d2dfc8190a2eabb8beda04ee5 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.