Triple

T10058593
Position Surface form Disambiguated ID Type / Status
Subject Rio Grande do Sul E208924 entity
Predicate contains P35 FINISHED
Object Gramado
Gramado is a popular mountain resort town in southern Brazil known for its European-style architecture, chocolate shops, and major tourist festivals such as Natal Luz.
E847879 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: Gramado | Statement: [Rio Grande do Sul, contains, Gramado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gramado
Context triple: [Rio Grande do Sul, contains, Gramado]
  • A. Passo Fundo
    Passo Fundo is a mid-sized city in southern Brazil known as a regional economic, educational, and healthcare hub in the state of Rio Grande do Sul.
  • B. Canoas
    Canoas is a major industrial and residential city in the Porto Alegre metropolitan region of Rio Grande do Sul, Brazil.
  • C. Pelotas
    Pelotas is a historic city in southern Brazil known for its colonial architecture, cultural festivals, and traditional sweets industry.
  • D. Jaraguá do Sul
    Jaraguá do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage and industrial economy.
  • E. Caxias do Sul
    Caxias do Sul is a major city in southern Brazil known for its strong European immigrant heritage, particularly German and Italian influences, and its significant industrial and wine-producing sectors.
  • 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: Gramado
Triple: [Rio Grande do Sul, contains, Gramado]
Generated description
Gramado is a popular mountain resort town in southern Brazil known for its European-style architecture, chocolate shops, and major tourist festivals such as Natal Luz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gramado
Target entity description: Gramado is a popular mountain resort town in southern Brazil known for its European-style architecture, chocolate shops, and major tourist festivals such as Natal Luz.
  • A. Passo Fundo
    Passo Fundo is a mid-sized city in southern Brazil known as a regional economic, educational, and healthcare hub in the state of Rio Grande do Sul.
  • B. Canoas
    Canoas is a major industrial and residential city in the Porto Alegre metropolitan region of Rio Grande do Sul, Brazil.
  • C. Pelotas
    Pelotas is a historic city in southern Brazil known for its colonial architecture, cultural festivals, and traditional sweets industry.
  • D. Jaraguá do Sul
    Jaraguá do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage and industrial economy.
  • E. Caxias do Sul
    Caxias do Sul is a major city in southern Brazil known for its strong European immigrant heritage, particularly German and Italian influences, and its significant industrial and wine-producing sectors.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfb0f17c8190a8c0cfb02863537d completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a950bc081909699d6bb31935cbd completed April 6, 2026, 3:37 a.m.
NEDg Description generation batch_69d32b53c600819080d476d292355f1c completed April 6, 2026, 3:41 a.m.
NED2 Entity disambiguation (via description) batch_69d32bb24ddc8190917fb78a263e671f completed April 6, 2026, 3:42 a.m.
Created at: March 30, 2026, 8:57 p.m.