Triple

T90242
Position Surface form Disambiguated ID Type / Status
Subject South America E1813 entity
Predicate hasMajorLanguage P207 FINISHED
Object Quechua E3862 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: Quechua | Statement: [South America, hasMajorLanguage, Quechua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quechua
Context triple: [South America, hasMajorLanguage, Quechua]
  • A. Quechua chosen
    Quechua is an indigenous language family of the central Andes, historically associated with the Inca Empire and still widely spoken across several South American countries.
  • B. Aymara
    Aymara is an indigenous language spoken primarily by the Aymara people of the central Andes in countries such as Bolivia, Peru, and Chile.
  • C. Kichwa
    Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
  • D. Spanish
    Spanish is a Romance language originating from the Iberian Peninsula that is now one of the world’s most widely spoken languages across Europe, the Americas, and beyond.
  • E. Equatoguinean Spanish
    Equatoguinean Spanish is the distinctive variety of Spanish spoken in Equatorial Guinea, shaped by local African languages and the country’s unique colonial history.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24f6c29888190890caa7872d63ac6 completed Feb. 28, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26245bf748190828d5cb4624b2a79 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.