Triple

T22613585
Position Surface form Disambiguated ID Type / Status
Subject Arequipa District E566779 entity
Predicate partOf P40 FINISHED
Object city of Arequipa 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: city of Arequipa | Statement: [Arequipa District, partOf, city of Arequipa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Arequipa
Context triple: [Arequipa District, partOf, city of Arequipa]
  • A. city of Puno
    The city of Puno is a Peruvian urban center on the shores of Lake Titicaca, known as a cultural hub of the Andean highlands and a major site of traditional festivals and folklore.
  • B. Arequipa chosen
    Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
  • C. city of Moquegua
    The city of Moquegua is a regional capital in southern Peru known for its colonial architecture, wine and pisco production, and proximity to the archaeological site of Cerro Baúl.
  • D. Cusco
    Cusco is a historic city in southeastern Peru that served as the capital of the Inca Empire and is now a major gateway to Machu Picchu.
  • E. Juliaca
    Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167ec03c48190b55394b7296f48e5 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:58 p.m.