Triple

T18613102
Position Surface form Disambiguated ID Type / Status
Subject Luyanó River E454947 entity
Predicate hasNameInLanguage P15 FINISHED
Object Río Luyanó
Río Luyanó is an urban river in Havana, Cuba, known for flowing through densely populated neighborhoods and suffering from significant pollution.
 E1559665 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 Luyanó | Statement: [Luyanó River, hasNameInLanguage, Río Luyanó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Río Luyanó
Context triple: [Luyanó River, hasNameInLanguage, Río Luyanó]
  • A. Río Laja
    Río Laja is a river in central Chile known for its role in irrigation, hydroelectric power generation, and as a key tributary of the Biobío River.
  • B. Río Funza
    Río Funza is a river in central Colombia that drains the Bogotá savanna and forms the Tequendama Falls before joining the Magdalena River basin.
  • C. Río Bucaná
    Río Bucaná is a river in the municipality of Ponce, Puerto Rico, that flows through the city toward the Caribbean Sea and has historically influenced its development and landscape.
  • D. Río Lato
    Río Lato is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
  • E. Rio Leyva
    Rio Leyva is a music producer known for his work with the hip-hop collective and production group Internet Money.
  • 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 Luyanó
Triple: [Luyanó River, hasNameInLanguage, Río Luyanó]
Generated description
Río Luyanó is an urban river in Havana, Cuba, known for flowing through densely populated neighborhoods and suffering from significant pollution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Río Luyanó
Target entity description: Río Luyanó is an urban river in Havana, Cuba, known for flowing through densely populated neighborhoods and suffering from significant pollution.
  • A. Río Laja
    Río Laja is a river in central Chile known for its role in irrigation, hydroelectric power generation, and as a key tributary of the Biobío River.
  • B. Río Funza
    Río Funza is a river in central Colombia that drains the Bogotá savanna and forms the Tequendama Falls before joining the Magdalena River basin.
  • C. Río Bucaná
    Río Bucaná is a river in the municipality of Ponce, Puerto Rico, that flows through the city toward the Caribbean Sea and has historically influenced its development and landscape.
  • D. Río Lato
    Río Lato is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
  • E. Rio Leyva
    Rio Leyva is a music producer known for his work with the hip-hop collective and production group Internet Money.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d030d488190a992d10d3d28b4ad completed April 19, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9a3f4b081909478df83d6ff60c1 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb7ae63c8190b354049d60f310e5 completed May 19, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbbd421c48190a7202f2662b21011 completed May 19, 2026, 1:24 a.m.
Created at: April 10, 2026, 11:45 a.m.