Triple

T309621
Position Surface form Disambiguated ID Type / Status
Subject Kichwa E6374 entity
Predicate hasDialect P4251 FINISHED
Object Napo Kichwa E6374 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: Napo Kichwa | Statement: [Kichwa, hasDialect, Napo Kichwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napo Kichwa
Context triple: [Kichwa, hasDialect, Napo Kichwa]
  • A. Kichwa chosen
    Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
  • B. Kwéyòl
    Kwéyòl is a French-based Creole language spoken primarily in the Lesser Antilles, notably in Saint Lucia and Dominica.
  • C. Guaraní
    Guaraní is an indigenous South American language of the Tupi–Guaraní family, widely spoken in Paraguay and neighboring countries and notable for its strong cultural and national significance.
  • D. Kichwa people
    The Kichwa people are an Indigenous group of the Andes and Amazon regions, primarily in Ecuador and neighboring countries, known for their Quechuan language varieties, traditional agriculture, and rich communal cultural practices.
  • E. Aymara
    Aymara is an indigenous language spoken primarily by the Aymara people of the central Andes in countries such as Bolivia, Peru, and Chile.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea33ba688190b30d285cd7aa0d82 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c415f83c8190b95755f23faae026 completed March 1, 2026, 4:44 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.