Triple

T7457043
Position Surface form Disambiguated ID Type / Status
Subject Lake Chapala E172150 entity
Predicate hasInflow P967 FINISHED
Object Río Lerma 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: Río Lerma | Statement: [Lake Chapala, hasInflow, Río Lerma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Lerma
Context triple: [Lake Chapala, hasInflow, Río Lerma]
  • 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. Río Cuautla
    Río Cuautla is a river in the Mexican state of Morelos that flows near the city of Cuernavaca and plays an important role in the region’s ecology and water supply.
  • C. Tamazula River
    The Tamazula River is a river in northwestern Mexico that flows through the city of Culiacán in the state of Sinaloa.
  • D. Atoyac River
    The Atoyac River is a significant waterway in southern Mexico that flows through the Oaxaca Valley, supporting local agriculture and communities.
  • E. Río Acaponeta
    Río Acaponeta is a river in western Mexico that flows through the state of Nayarit before emptying into the Gulf of California.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3b0780881909e645160dd49eb57 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8706c72948190bb40d0282afb945f completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:15 p.m.