Triple

T21293039
Position Surface form Disambiguated ID Type / Status
Subject Battle of Cotagaita E524844 entity
Predicate location P40 FINISHED
Object Upper Peru NE NERFINISHED

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: Upper Peru | Statement: [Battle of Cotagaita, location, Upper Peru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Peru
Context triple: [Battle of Cotagaita, location, Upper Peru]
  • A. Upper Peru chosen
    Upper Peru was the colonial-era Spanish administrative region in South America that roughly corresponds to modern-day Bolivia.
  • B. Lower Peru
    Lower Peru is a historical region in South America that lay to the south of Upper Peru, roughly corresponding to parts of what is now modern-day Peru or northern Chile.
  • C. Alto Perú
    Alto Perú was the colonial-era region in the central Andes that roughly corresponds to modern-day Bolivia and was a key mining and administrative center of the Spanish Empire in South America.
  • D. Collasuyu
    Collasuyu was the southeastern quarter of the Inca Empire, encompassing the highland and lowland regions around Lake Titicaca and extending into parts of present-day Bolivia, Chile, and Argentina.
  • E. Southern Peru
    Southern Peru is a geographic region of Peru known for its Andean highlands, volcanic landscapes, and major cities such as Arequipa and Cusco.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.