Triple

T16535567
Position Surface form Disambiguated ID Type / Status
Subject Mendoza River E401680 entity
Predicate hasTributary P415 FINISHED
Object Río Cuevas
Río Cuevas is a mountain river in the Andes of western Argentina that flows through Mendoza Province and contributes to the region’s Andean watershed.
 E1371047 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 Cuevas | Statement: [Mendoza River, hasTributary, Río Cuevas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Río Cuevas
Context triple: [Mendoza River, hasTributary, Río Cuevas]
  • A. Tamazula River
    The Tamazula River is a river in northwestern Mexico that flows through the city of Culiacán in the state of Sinaloa.
  • B. 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.
  • C. Batopilas River
    The Batopilas River is a mountain river in the Sierra Madre Occidental of Chihuahua, Mexico, known for running through the deep Batopilas Canyon in the Copper Canyon region.
  • D. Río Frío
    Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
  • E. Río Frío
    Río Frío is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
  • 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 Cuevas
Triple: [Mendoza River, hasTributary, Río Cuevas]
Generated description
Río Cuevas is a mountain river in the Andes of western Argentina that flows through Mendoza Province and contributes to the region’s Andean watershed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Río Cuevas
Target entity description: Río Cuevas is a mountain river in the Andes of western Argentina that flows through Mendoza Province and contributes to the region’s Andean watershed.
  • A. Tamazula River
    The Tamazula River is a river in northwestern Mexico that flows through the city of Culiacán in the state of Sinaloa.
  • B. 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.
  • C. Batopilas River
    The Batopilas River is a mountain river in the Sierra Madre Occidental of Chihuahua, Mexico, known for running through the deep Batopilas Canyon in the Copper Canyon region.
  • D. Río Frío
    Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
  • E. Río Frío
    Río Frío is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e345574d88819094548367bf983078 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bc0308081908f2b98b0dec96ab6 completed May 15, 2026, 1:12 p.m.
NEDg Description generation batch_6a071c8a9dec8190a4fbb88736b73912 completed May 15, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_6a071e0e00208190a6e05266d5bc47e2 completed May 15, 2026, 1:22 p.m.
Created at: April 10, 2026, 5:15 a.m.