Triple

T16535549
Position Surface form Disambiguated ID Type / Status
Subject Mendoza River E401680 entity
Predicate flowsNear P350 FINISHED
Object Luján de Cuyo
Luján de Cuyo is a renowned wine-producing city and department in Argentina’s Mendoza Province, famous for its Malbec vineyards and scenic Andean foothill landscapes.
E1220912 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: Luján de Cuyo | Statement: [Mendoza River, flowsNear, Luján de Cuyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luján de Cuyo
Context triple: [Mendoza River, flowsNear, Luján de Cuyo]
  • A. San Rafael (Mendoza)
    San Rafael (Mendoza) is a city in Argentina’s Mendoza Province known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
  • B. Río Cuarto
    Río Cuarto is a major city in central Argentina known as an important commercial, agricultural, and educational hub within Córdoba Province.
  • C. San Justo
    San Justo is a city in the Buenos Aires Province of Argentina, forming part of the Greater Buenos Aires metropolitan area.
  • D. Mendoza
    Mendoza is a common Spanish-language surname borne by numerous notable individuals across the Spanish-speaking world.
  • E. Mendoza
    Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
  • 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: Luján de Cuyo
Triple: [Mendoza River, flowsNear, Luján de Cuyo]
Generated description
Luján de Cuyo is a renowned wine-producing city and department in Argentina’s Mendoza Province, famous for its Malbec vineyards and scenic Andean foothill landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luján de Cuyo
Target entity description: Luján de Cuyo is a renowned wine-producing city and department in Argentina’s Mendoza Province, famous for its Malbec vineyards and scenic Andean foothill landscapes.
  • A. San Rafael (Mendoza)
    San Rafael (Mendoza) is a city in Argentina’s Mendoza Province known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
  • B. Río Cuarto
    Río Cuarto is a major city in central Argentina known as an important commercial, agricultural, and educational hub within Córdoba Province.
  • C. San Justo
    San Justo is a city in the Buenos Aires Province of Argentina, forming part of the Greater Buenos Aires metropolitan area.
  • D. Mendoza
    Mendoza is a common Spanish-language surname borne by numerous notable individuals across the Spanish-speaking world.
  • E. Mendoza
    Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
  • 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_6a006ed808448190936ea51a9a28a95a completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fe59a6c8190a8c0a7bc11495f56 completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a007068715c8190914ccac7b14103e4 completed May 10, 2026, 11:47 a.m.
Created at: April 10, 2026, 5:15 a.m.