Triple

T9012213
Position Surface form Disambiguated ID Type / Status
Subject West Zone of Rio de Janeiro E215502 entity
Predicate contains P35 FINISHED
Object Campo Grande
Campo Grande is a populous residential neighborhood in the western part of Rio de Janeiro, Brazil, known for its commercial centers and suburban character.
 E773566 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: Campo Grande | Statement: [West Zone of Rio de Janeiro, contains, Campo Grande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campo Grande
Context triple: [West Zone of Rio de Janeiro, contains, Campo Grande]
  • A. Campo Grande
    Campo Grande is a neighborhood in the city of Recife, Brazil.
  • B. Campo Grande
    Campo Grande is the capital city of Brazil’s Mato Grosso do Sul state and a key urban and transportation hub for visitors heading into the Pantanal wetlands.
  • C. Campo Grande
    Campo Grande is a major transport hub in Lisbon that serves as a key connection point for metro, bus, and other public transit services.
  • D. Dourados
    Dourados is a major agricultural and commercial city in the Brazilian state of Mato Grosso do Sul, known as an important regional economic and educational center.
  • E. Campo Maior
    Campo Maior is a municipality in the Brazilian state of Piauí, known historically for its role in regional conflicts and its cultural traditions.
  • 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: Campo Grande
Triple: [West Zone of Rio de Janeiro, contains, Campo Grande]
Generated description
Campo Grande is a populous residential neighborhood in the western part of Rio de Janeiro, Brazil, known for its commercial centers and suburban character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campo Grande
Target entity description: Campo Grande is a populous residential neighborhood in the western part of Rio de Janeiro, Brazil, known for its commercial centers and suburban character.
  • A. Campo Grande
    Campo Grande is a neighborhood in the city of Recife, Brazil.
  • B. Campo Grande
    Campo Grande is the capital city of Brazil’s Mato Grosso do Sul state and a key urban and transportation hub for visitors heading into the Pantanal wetlands.
  • C. Campo Grande
    Campo Grande is a major transport hub in Lisbon that serves as a key connection point for metro, bus, and other public transit services.
  • D. Dourados
    Dourados is a major agricultural and commercial city in the Brazilian state of Mato Grosso do Sul, known as an important regional economic and educational center.
  • E. Campo Maior
    Campo Maior is a municipality in the Brazilian state of Piauí, known historically for its role in regional conflicts and its cultural traditions.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f846f88190af65dfcf8bdd936a completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba11a6481909cac624530a77ffe completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc9868fc8190addad6b87b567277 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfe0aafe4c81908a5b31590f6c9152 completed April 3, 2026, 3:45 p.m.
Created at: March 30, 2026, 7:06 p.m.