Triple

T3966775
Position Surface form Disambiguated ID Type / Status
Subject José Carlos Mariátegui E92235 entity
Predicate birthPlace P1 FINISHED
Object Moquegua E292775 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: Moquegua | Statement: [José Carlos Mariátegui, birthPlace, Moquegua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moquegua
Context triple: [José Carlos Mariátegui, birthPlace, Moquegua]
  • A. Moquegua chosen
    Moquegua is a city in southern Peru known for its colonial architecture, wine and pisco production, and location in a seismically active Andean region.
  • B. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • C. Marañón River
    The Marañón River is a major river in Peru that forms one of the principal headwaters of the Amazon River system.
  • D. Urubamba
    Urubamba is a town in Peru’s Sacred Valley of the Incas, known as a gateway to Machu Picchu and surrounding Andean archaeological sites.
  • E. Moche River
    The Moche River is a coastal river in northern Peru that flows through the arid region around the city of Trujillo before emptying into the Pacific Ocean.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef976f4fc8190b2c16ab62c19cdb8 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533c189a88190b3a81c63621b98ac completed March 14, 2026, 10:09 a.m.
Created at: March 9, 2026, 3:32 p.m.