Triple

T20308986
Position Surface form Disambiguated ID Type / Status
Subject Plaza de Yanahuara E510183 entity
Predicate hasNearbyNeighborhood P350 FINISHED
Object Yanahuara 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: Yanahuara | Statement: [Plaza de Yanahuara, hasNearbyNeighborhood, Yanahuara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanahuara
Context triple: [Plaza de Yanahuara, hasNearbyNeighborhood, Yanahuara]
  • A. Yanahuara chosen
    Yanahuara is a historic neighborhood in the city of Arequipa, Peru, known for its colonial-era architecture, white sillar stone buildings, and scenic viewpoints of the surrounding volcanoes.
  • B. Yanahuaya
    Yanahuaya is a small town and district capital located in the Sandia Province of the Puno Region in southeastern Peru.
  • C. Amapala
    Amapala is a coastal town and former major Pacific port of Honduras located on El Tigre Island in the Gulf of Fonseca.
  • D. Quillacinga
    Quillacinga are an Indigenous people of the Andean region in what is now southern Colombia, known historically for their distinct culture and resistance to Spanish colonization.
  • E. Tumbalá
    Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6774286a88190800d6b062f3d7a9f completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.