Triple

T21320060
Position Surface form Disambiguated ID Type / Status
Subject Loreto Department E525586 entity
Predicate containsUrbanArea P11388 FINISHED
Object Iquitos metropolitan area 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: Iquitos metropolitan area | Statement: [Loreto Department, containsUrbanArea, Iquitos metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iquitos metropolitan area
Context triple: [Loreto Department, containsUrbanArea, Iquitos metropolitan area]
  • A. Iquitos chosen
    Iquitos is a major Peruvian city in the Amazon rainforest, known as one of the world’s largest cities accessible only by river and air.
  • B. Puerto Maldonado
    Puerto Maldonado is a frontier city in the Peruvian Amazon known as a gateway to the Madre de Dios rainforest and nearby biodiversity-rich reserves.
  • C. Huánuco city
    Huánuco city is a regional capital in central Peru known for its mild climate and proximity to important archaeological sites such as Kotosh.
  • D. Chiclayo
    Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ecfb7d481909cb73f95c3ddd9ed completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.