Triple

T21320035
Position Surface form Disambiguated ID Type / Status
Subject Loreto Department E525586 entity
Predicate containsCity P294 FINISHED
Object Yurimaguas 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: Yurimaguas | Statement: [Loreto Department, containsCity, Yurimaguas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yurimaguas
Context triple: [Loreto Department, containsCity, Yurimaguas]
  • A. Yurimaguas chosen
    Yurimaguas is a river port town in the Peruvian Amazon, known as a gateway to the Huallaga and Marañón rivers and a commercial hub for the surrounding jungle region.
  • B. Huánuco Pampa
    Huánuco Pampa is a major archaeological site and former administrative center of the Inca Empire in the central highlands of Peru, notable for its vast ceremonial and urban layout.
  • C. Tumbes
    Tumbes is a coastal city in northwestern Peru near the border with Ecuador, known for its mangrove forests and tropical climate.
  • D. Moquegua
    Moquegua is a city in southern Peru known for its colonial architecture, wine and pisco production, and location in a seismically active Andean region.
  • E. Huaraz
    Huaraz is a highland city in north-central Peru known as a gateway to the Cordillera Blanca and Huascarán National Park, popular for trekking, mountaineering, and Andean 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_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.