Triple

T10490571
Position Surface form Disambiguated ID Type / Status
Subject Anywa language E247406 entity
Predicate hasAlternativeName P39 FINISHED
Object Anywaa language E247406 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: Anywaa language | Statement: [Anywa language, hasAlternativeName, Anywaa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anywaa language
Context triple: [Anywa language, hasAlternativeName, Anywaa language]
  • A. Anywa language chosen
    Anywa language is a Nilotic language spoken primarily by the Anyuak people in South Sudan and western Ethiopia.
  • B. Anyin language
    The Anyin language is a Niger-Congo language spoken primarily in Côte d'Ivoire and Ghana by the Anyin people, closely related to Baoulé and other Central Tano languages.
  • C. Awaswas language
    The Awaswas language is an extinct Ohlone (Costanoan) Native American language once spoken along the central coast of California.
  • D. Anii language
    The Anii language is a Niger-Congo language spoken primarily in parts of Benin and Togo in West Africa.
  • E. 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.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.