Triple

T7457046
Position Surface form Disambiguated ID Type / Status
Subject Lake Chapala E172150 entity
Predicate hasInflow P967 FINISHED
Object Río Duero
Río Duero is a river in western Mexico that serves as one of the main tributaries feeding Lake Chapala, the country’s largest freshwater lake.
E665816 NE FINISHED

How this triple was built (4 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 Duero | Statement: [Lake Chapala, hasInflow, Río Duero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Duero
Context triple: [Lake Chapala, hasInflow, Río Duero]
  • A. Ribera del Duero
    Ribera del Duero is a renowned Spanish wine region famous for its high-quality Tempranillo-based red wines.
  • B. Manzanares River
    The Manzanares River is a modest river in central Spain that flows through the city of Madrid and has historically shaped its landscape and development.
  • C. Manzanares River
    The Manzanares River is a coastal river in northeastern Venezuela that flows through the city of Cumaná before emptying into the Caribbean Sea.
  • D. Manzanares
    Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
  • E. Río Tajo
    Río Tajo is the longest river in the Iberian Peninsula, flowing from eastern Spain across the country into Portugal before emptying into the Atlantic Ocean near Lisbon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Río Duero
Triple: [Lake Chapala, hasInflow, Río Duero]
Generated description
Río Duero is a river in western Mexico that serves as one of the main tributaries feeding Lake Chapala, the country’s largest freshwater lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Río Duero
Target entity description: Río Duero is a river in western Mexico that serves as one of the main tributaries feeding Lake Chapala, the country’s largest freshwater lake.
  • A. Ribera del Duero
    Ribera del Duero is a renowned Spanish wine region famous for its high-quality Tempranillo-based red wines.
  • B. Manzanares River
    The Manzanares River is a coastal river in northeastern Venezuela that flows through the city of Cumaná before emptying into the Caribbean Sea.
  • C. Manzanares River
    The Manzanares River is a modest river in central Spain that flows through the city of Madrid and has historically shaped its landscape and development.
  • D. Manzanares
    Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
  • E. Río Tajo
    Río Tajo is the longest river in the Iberian Peninsula, flowing from eastern Spain across the country into Portugal before emptying into the Atlantic Ocean near Lisbon.
  • F. None of above. chosen

Provenance (5 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_69c827c73ce081909e31e272c8a752b6 completed March 28, 2026, 7:11 p.m.
NEDg Description generation batch_69c82bd3fe8c819098afb0d51e69383b completed March 28, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69c82c2437d08190a1b4cf44cd51df03 completed March 28, 2026, 7:29 p.m.
Created at: March 27, 2026, 3:15 p.m.