Triple

T5395336
Position Surface form Disambiguated ID Type / Status
Subject Toluca Valley E120639 entity
Predicate drainedBy P165 FINISHED
Object Lerma River E402426 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: Lerma River | Statement: [Toluca Valley, drainedBy, Lerma River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerma River
Context triple: [Toluca Valley, drainedBy, Lerma River]
  • A. Lerma River chosen
    The Lerma River is one of central Mexico’s most important rivers, serving as a major water source for agriculture, industry, and urban areas across several states.
  • B. Guadalimar River
    The Guadalimar River is a significant watercourse in southern Spain that flows through the provinces of Jaén and Ciudad Real before joining the Guadalquivir River.
  • C. Río Almendares
    Río Almendares is a major river in Havana, Cuba, known for flowing through the city and forming part of its western boundary before reaching the coast.
  • D. Lozoya River
    The Lozoya River is a mountain river in central Spain that flows through the Sierra de Guadarrama and supplies water to the Madrid region.
  • E. Río Salamanca
    Río Salamanca is a river in Chile that flows through the Coquimbo Region, contributing to the hydrology and agriculture of the Choapa Valley.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8745c10c8190afa72894014c37d1 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11c9026fc8190abb0fb3e71d5639f completed March 23, 2026, 10:57 a.m.
Created at: March 20, 2026, 2:04 p.m.