Triple

T474607
Position Surface form Disambiguated ID Type / Status
Subject Lake Titicaca E9032 entity
Predicate culturalRegion P1968 FINISHED
Object Aymara E4140 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: Aymara | Statement: [Lake Titicaca, culturalRegion, Aymara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aymara
Context triple: [Lake Titicaca, culturalRegion, Aymara]
  • A. Aymara chosen
    Aymara is an indigenous language spoken primarily by the Aymara people of the central Andes in countries such as Bolivia, Peru, and Chile.
  • B. Otavalo Kichwa
    Otavalo Kichwa is a regional variety of the Kichwa (Quechuan) language spoken primarily by the Indigenous Otavalo people of northern Ecuador.
  • C. Amuzgo
    The Amuzgo are an indigenous Mesoamerican people primarily inhabiting the mountainous regions of Guerrero and Oaxaca in southern Mexico, known for their distinct language and rich textile-weaving traditions.
  • D. Quechua
    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.
  • E. Nahua
    The Nahua are a major indigenous people of Mexico, historically associated with the Aztecs and speakers of various Nahuatl languages across central and southern regions.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f039f3d88190a7c93ecbf1bf5f58 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a468010c10819090d325d6c3d6f50c completed March 1, 2026, 4:23 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.