Triple

T12084492
Position Surface form Disambiguated ID Type / Status
Subject Vale do Rio dos Sinos E287770 entity
Predicate contains P35 FINISHED
Object Araricá
Araricá is a small municipality in the state of Rio Grande do Sul, Brazil, known for its rural character and integration into the Porto Alegre metropolitan region.
E983559 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: Araricá | Statement: [Vale do Rio dos Sinos, contains, Araricá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Araricá
Context triple: [Vale do Rio dos Sinos, contains, Araricá]
  • A. Aracati
    Aracati is a historic coastal city in northeastern Brazil known for its colonial architecture and nearby Canoa Quebrada beach.
  • B. Arujá
    Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Corumbá
    Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
  • E. Canindé
    Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
  • 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: Araricá
Triple: [Vale do Rio dos Sinos, contains, Araricá]
Generated description
Araricá is a small municipality in the state of Rio Grande do Sul, Brazil, known for its rural character and integration into the Porto Alegre metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Araricá
Target entity description: Araricá is a small municipality in the state of Rio Grande do Sul, Brazil, known for its rural character and integration into the Porto Alegre metropolitan region.
  • A. Aracati
    Aracati is a historic coastal city in northeastern Brazil known for its colonial architecture and nearby Canoa Quebrada beach.
  • B. Arujá
    Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Corumbá
    Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
  • E. Canindé
    Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91513bbb0819084a8bb877e03060c completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee0597c81909ad679a1ddece887 completed May 2, 2026, 6:13 p.m.
NEDg Description generation batch_69f6400fe9888190ae8244ccc8e8bc39 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64168d23881908daee7d7cba2160d completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:48 p.m.