Triple

T16087399
Position Surface form Disambiguated ID Type / Status
Subject Lima road network E390266 entity
Predicate crosses P416 FINISHED
Object Rímac River E20286 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: Rímac River | Statement: [Lima road network, crosses, Rímac River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rímac River
Context triple: [Lima road network, crosses, 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 (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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e184508dfc819085590b2c4731c8ef completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeed4e008190b1e8d924b9dc9d37 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:59 a.m.