Triple

T14288041
Position Surface form Disambiguated ID Type / Status
Subject Piura Region E354229 entity
Predicate hasCity P316 FINISHED
Object Sullana E979287 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: Sullana | Statement: [Piura Region, hasCity, Sullana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sullana
Context triple: [Piura Region, hasCity, Sullana]
  • A. Sullana chosen
    Sullana is a city in northwestern Peru known for its agricultural production and location along the Chira River in the Piura region.
  • B. Machalí
    Machalí is a Chilean city in the O'Higgins Region known for its proximity to the El Teniente copper mine and the Andean foothills.
  • C. Moyobamba
    Moyobamba is a city in northern Peru known for its rich biodiversity, orchid gardens, and role as a commercial and cultural hub in the Amazonian highlands.
  • D. Pucallpa
    Pucallpa is a major city in eastern Peru, located in the Amazon rainforest along the Ucayali River and serving as an important regional commercial and transportation hub.
  • E. Puruchuco
    Puruchuco is an Inca-era archaeological complex on the outskirts of Lima, Peru, notable for its well-preserved adobe architecture and role as an administrative center on the central coast.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1e14d4819091c381f96c43c58b completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.