Triple

T576224
Position Surface form Disambiguated ID Type / Status
Subject Google Translate E13763 entity
Predicate availableLanguage P2177 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: [Google Translate, availableLanguage, Quechua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quechua
Context triple: [Google Translate, availableLanguage, 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4db0248190b2b3ca0290467313 completed March 2, 2026, 3:09 a.m.
Created at: March 1, 2026, 7:33 p.m.