Triple

T8633978
Position Surface form Disambiguated ID Type / Status
Subject South Zone of Rio de Janeiro E204473 entity
Predicate contains P35 FINISHED
Object Catete
Catete is a historic neighborhood in Rio de Janeiro known for its preserved 19th-century architecture, cultural institutions, and proximity to Flamengo Park and the city center.
 E747150 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: Catete | Statement: [South Zone of Rio de Janeiro, contains, Catete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Catete
Context triple: [South Zone of Rio de Janeiro, contains, Catete]
  • A. Katete
    Katete is a town in eastern Zambia that serves as a key trading and transit hub near the border with Mozambique.
  • B. Atripé
    Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
  • C. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • D. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • E. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • 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: Catete
Triple: [South Zone of Rio de Janeiro, contains, Catete]
Generated description
Catete is a historic neighborhood in Rio de Janeiro known for its preserved 19th-century architecture, cultural institutions, and proximity to Flamengo Park and the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Catete
Target entity description: Catete is a historic neighborhood in Rio de Janeiro known for its preserved 19th-century architecture, cultural institutions, and proximity to Flamengo Park and the city center.
  • A. Katete
    Katete is a town in eastern Zambia that serves as a key trading and transit hub near the border with Mozambique.
  • B. Atripé
    Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
  • C. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • D. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • E. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4743d31881908cf9fc3838c4bdd9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc13073c8190ad6e92b8f7161739 completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebd4633f08190971d5d67e5a7496a completed April 2, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69cebe12fa94819099e37ed9e5cd83b7 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:27 p.m.