Triple

T17426009
Position Surface form Disambiguated ID Type / Status
Subject Department of Lima E423738 entity
Predicate containsGeographicFeature P1094 FINISHED
Object Rímac River 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: Rímac River | Statement: [Department of Lima, containsGeographicFeature, Rímac River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rímac River
Context triple: [Department of Lima, containsGeographicFeature, Rímac River]
  • A. Rímac River chosen
    The Rímac River is a major waterway in central Peru that flows from the Andes through the city of Lima to the Pacific Ocean, serving as a crucial source of water for the capital region.
  • B. Lima River
    The Lima River is a watercourse in northwestern Iberia that flows from Spain into Portugal, passing through the Norte Region before emptying into the Atlantic Ocean at Viana do Castelo.
  • C. Lurín River
    The Lurín River is a coastal watercourse in central Peru that has long supported agriculture and settlement in the Lurín Valley near Lima.
  • D. Tarqui River
    The Tarqui River is a waterway in southern Ecuador that flows through the city of Cuenca and contributes to its Andean watershed.
  • E. Tajuña River
    The Tajuña River is a river in central Spain that flows through the Community of Madrid and Castilla–La Mancha before joining the Jarama River.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fbfda88190be1c001d64289bf7 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.