Triple

T1844984
Position Surface form Disambiguated ID Type / Status
Subject Salasaca Kichwa E41264 entity
Predicate languageFamily P1047 FINISHED
Object 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: Kichwa | Statement: [Salasaca Kichwa, languageFamily, Kichwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kichwa
Context triple: [Salasaca Kichwa, languageFamily, 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. Kituba
    Kituba is a widely spoken Bantu-based creole language of Central Africa, serving as a major lingua franca in the Republic of the Congo and surrounding regions.
  • D. Kiswah
    Kiswah is the ornate black cloth embroidered with Quranic verses that traditionally drapes and adorns the Kaaba in Mecca.
  • E. Chukchucha
    Chukchucha is a village-level settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb04fe9d481909b5c1973d3f9b92d completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeadb82048190a89aa8df26fa55f1 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:33 p.m.