Triple

T1170004
Position Surface form Disambiguated ID Type / Status
Subject Recife E24891 entity
Predicate hasPart P35 FINISHED
Object Mangueira
Mangueira is a neighborhood in the Brazilian city of Recife, known primarily as a residential area within the metropolitan region.
 E145944 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: Mangueira | Statement: [Recife, hasPart, Mangueira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mangueira
Context triple: [Recife, hasPart, Mangueira]
  • A. Tamarineira
    Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
  • B. Cajueiro
    Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
  • C. Caimito
    Caimito is a municipality in western Cuba known for its agricultural activities and proximity to Havana.
  • D. La Ceiba
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • E. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • 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: Mangueira
Triple: [Recife, hasPart, Mangueira]
Generated description
Mangueira is a neighborhood in the Brazilian city of Recife, known primarily as a residential area within the metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mangueira
Target entity description: Mangueira is a neighborhood in the Brazilian city of Recife, known primarily as a residential area within the metropolitan region.
  • A. Tamarineira
    Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
  • B. Cajueiro
    Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
  • C. Caimito
    Caimito is a municipality in western Cuba known for its agricultural activities and proximity to Havana.
  • D. La Ceiba
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • E. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • 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_69aca2e7d28c8190acf5ae2237e6d4e0 completed March 7, 2026, 10:12 p.m.
NEDg Description generation batch_69aca3752a3c81908bd6d9744ad5f5a2 completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca3e44bf481908c5726adddc4b428 completed March 7, 2026, 10:17 p.m.
Created at: March 1, 2026, 7:45 p.m.