Triple

T23124546
Position Surface form Disambiguated ID Type / Status
Subject São José (Recife) E576990 entity
Predicate adjacentTo P224 FINISHED
Object Cabanga (Recife)
Cabanga is a neighborhood in Recife, Brazil, known for its waterfront location along the Capibaribe River and proximity to the city’s central districts.
 E1570952 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: Cabanga (Recife) | Statement: [São José (Recife), adjacentTo, Cabanga (Recife)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cabanga (Recife)
Context triple: [São José (Recife), adjacentTo, Cabanga (Recife)]
  • A. Caraúbas
    Caraúbas is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
  • B. Cunha Baixa
    Cunha Baixa is a civil parish in the municipality of Mangualde, located in Portugal’s Viseu District.
  • C. Nazaré da Mata
    Nazaré da Mata is a municipality in the Brazilian state of Pernambuco, known for its sugarcane agriculture and traditional maracatu rural cultural celebrations.
  • D. Carriço
    Carriço is a civil parish within the municipality of Pombal in central Portugal, known for its rural character and local community life.
  • E. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • 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: Cabanga (Recife)
Triple: [São José (Recife), adjacentTo, Cabanga (Recife)]
Generated description
Cabanga is a neighborhood in Recife, Brazil, known for its waterfront location along the Capibaribe River and proximity to the city’s central districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cabanga (Recife)
Target entity description: Cabanga is a neighborhood in Recife, Brazil, known for its waterfront location along the Capibaribe River and proximity to the city’s central districts.
  • A. Caraúbas
    Caraúbas is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
  • B. Cunha Baixa
    Cunha Baixa is a civil parish in the municipality of Mangualde, located in Portugal’s Viseu District.
  • C. Nazaré da Mata
    Nazaré da Mata is a municipality in the Brazilian state of Pernambuco, known for its sugarcane agriculture and traditional maracatu rural cultural celebrations.
  • D. Carriço
    Carriço is a civil parish within the municipality of Pombal in central Portugal, known for its rural character and local community life.
  • E. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e5299c08190a578102cf2ff7080 completed April 29, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23f25dec8190984bc2dafd008a48 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271e8a8c8190ba994f557f077288 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27d3befc8190bc7a3697bc0e817b completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.