Triple

T1170022
Position Surface form Disambiguated ID Type / Status
Subject Recife E24891 entity
Predicate hasPart P35 FINISHED
Object Paissandu
Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
 E133008 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: Paissandu | Statement: [Recife, hasPart, Paissandu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paissandu
Context triple: [Recife, hasPart, Paissandu]
  • A. León
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • B. Getafe
    Getafe is a city in central Spain that forms part of the Madrid metropolitan area and is known for its industrial base, university campus, and air force history.
  • C. Quintero
    Quintero is a coastal Chilean city known for its beaches, port activities, and role as part of the Valparaíso Region’s industrial and tourism corridor.
  • D. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • E. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • 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: Paissandu
Triple: [Recife, hasPart, Paissandu]
Generated description
Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paissandu
Target entity description: Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
  • A. León
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • B. Getafe
    Getafe is a city in central Spain that forms part of the Madrid metropolitan area and is known for its industrial base, university campus, and air force history.
  • C. Quintero
    Quintero is a coastal Chilean city known for its beaches, port activities, and role as part of the Valparaíso Region’s industrial and tourism corridor.
  • D. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • E. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce972cc8190bce0b77cfda6da41 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66879aec819098293c440a0e09a6 completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac66fd58308190bb4cb09581d4a8de completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac677e147081909d9f64884c443f82 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:45 p.m.