Triple

T1791268
Position Surface form Disambiguated ID Type / Status
Subject Kichwa people E39499 entity
Predicate subgroup P10 FINISHED
Object Napo Kichwa E202214 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 people, subgroup, Napo Kichwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napo Kichwa
Context triple: [Kichwa people, subgroup, Napo Kichwa]
  • A. Kichwa
    Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
  • B. Pastaza Kichwa chosen
    Pastaza Kichwa are an Indigenous Kichwa-speaking people of the Ecuadorian Amazon, known for their rainforest-based livelihoods, rich oral traditions, and active role in environmental and territorial rights movements.
  • 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. Saraguro Kichwa
    Saraguro Kichwa are an Indigenous Kichwa-speaking community from the highland region of southern Ecuador, known for their distinctive traditional dress, cultural practices, and strong communal organization.
  • E. Kikongo
    Kikongo is a Bantu language widely spoken in Central Africa, particularly in the western regions of the Democratic Republic of the Congo and neighboring countries.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65392b2c81909bf4d619bd347f54 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf54330c81908046b519a0297760 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.