Triple

T440650
Position Surface form Disambiguated ID Type / Status
Subject Sacred Valley E10105 entity
Predicate languageRegion P387 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: [Sacred Valley, languageRegion, Quechua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quechua
Context triple: [Sacred Valley, languageRegion, 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. 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. Aguaruna language
    The Aguaruna language is a Jivaroan language spoken by the Aguaruna (Awajún) people of northern Peru, closely related to the Shuar language of Ecuador.
  • E. Boliviano
    The Boliviano is the official monetary unit of Bolivia, used for everyday transactions and financial operations throughout the country.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e71ec4c8190ac1b80c01e0e83ad completed March 1, 2026, 1:26 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.