Triple

T2717484
Position Surface form Disambiguated ID Type / Status
Subject Peru Time E60001 entity
Predicate usedInCity P4810 FINISHED
Object Arequipa E22142 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: Arequipa | Statement: [Peru Time, usedInCity, Arequipa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arequipa
Context triple: [Peru Time, usedInCity, Arequipa]
  • A. 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.
  • B. 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.
  • C. Puno
    Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
  • D. Cajamarca
    Cajamarca is a city in the northern highlands of Peru, historically renowned as the site where Spanish conquistador Francisco Pizarro captured the Inca emperor Atahualpa, marking a pivotal moment in the Spanish conquest of the Inca Empire.
  • E. Huacho
    Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaad577c8190819d3c641c2406f4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68c3ccc81909995d17651af27ed completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.