Triple

T5718802
Position Surface form Disambiguated ID Type / Status
Subject Lago Xolotlán E126088 entity
Predicate hasInflow P967 FINISHED
Object Río Sinecapa
Río Sinecapa is a river in Nicaragua that serves as one of the tributaries feeding Lake Xolotlán (Lake Managua).
 E598094 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 Sinecapa | Statement: [Lago Xolotlán, hasInflow, Río Sinecapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Río Sinecapa
Context triple: [Lago Xolotlán, hasInflow, Río Sinecapa]
  • A. Cenepa River
    The Cenepa River is a remote waterway in the Amazonian border region between Peru and Ecuador that became internationally known as the focal point of the 1995 Cenepa War territorial conflict.
  • B. Río Cocal
    Río Cocal is a river located in the municipality of Toa Baja on the northern coast of Puerto Rico.
  • C. Huancané River
    The Huancané River is a river in the Andean region of Peru that serves as one of the tributaries feeding Lake Titicaca.
  • D. Suárez River
    The Suárez River is a significant waterway in northeastern Colombia that flows through the Santander region and contributes to the Magdalena River basin.
  • E. Gualí River
    The Gualí River is a waterway in central Colombia that flows through the municipality of Mariquita in the Tolima Department.
  • 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 Sinecapa
Triple: [Lago Xolotlán, hasInflow, Río Sinecapa]
Generated description
Río Sinecapa is a river in Nicaragua that serves as one of the tributaries feeding Lake Xolotlán (Lake Managua).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Río Sinecapa
Target entity description: Río Sinecapa is a river in Nicaragua that serves as one of the tributaries feeding Lake Xolotlán (Lake Managua).
  • A. Cenepa River
    The Cenepa River is a remote waterway in the Amazonian border region between Peru and Ecuador that became internationally known as the focal point of the 1995 Cenepa War territorial conflict.
  • B. Río Cocal
    Río Cocal is a river located in the municipality of Toa Baja on the northern coast of Puerto Rico.
  • C. Huancané River
    The Huancané River is a river in the Andean region of Peru that serves as one of the tributaries feeding Lake Titicaca.
  • D. Suárez River
    The Suárez River is a significant waterway in northeastern Colombia that flows through the Santander region and contributes to the Magdalena River basin.
  • E. Gualí River
    The Gualí River is a waterway in central Colombia that flows through the municipality of Mariquita in the Tolima Department.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e1ec7c8190a08e1b7954db2a9d completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669d13b788190a6568d2d080ebdc6 completed March 27, 2026, 11:28 a.m.
NEDg Description generation batch_69c66a3d99688190a86787d5b1e47b3b completed March 27, 2026, 11:30 a.m.
NED2 Entity disambiguation (via description) batch_69c66a82694481908f21c46dc8e98e49 completed March 27, 2026, 11:31 a.m.
Created at: March 22, 2026, 3:46 p.m.