Triple

T23234601
Position Surface form Disambiguated ID Type / Status
Subject Cajamarca Airport E581251 entity
Predicate cityServed P82 FINISHED
Object Cajamarca 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: Cajamarca | Statement: [Cajamarca Airport, cityServed, Cajamarca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cajamarca
Context triple: [Cajamarca Airport, cityServed, Cajamarca]
  • A. Cajamarca chosen
    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.
  • B. Abancay
    Abancay is a city in the Andean highlands of Peru, serving as the capital of the Apurímac Region and known for its mild climate and surrounding mountainous landscapes.
  • C. Huancayo
    Huancayo is a major city in the central highlands of Peru, known as a commercial and cultural hub of the Mantaro Valley.
  • D. Juliaca
    Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
  • E. Chiclayo
    Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e7bed88190b914b238c5f49860 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.