Triple

T1170012
Position Surface form Disambiguated ID Type / Status
Subject Recife E24891 entity
Predicate hasPart P35 FINISHED
Object Engenho do Meio
Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
E148139 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: Engenho do Meio | Statement: [Recife, hasPart, Engenho do Meio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engenho do Meio
Context triple: [Recife, hasPart, Engenho do Meio]
  • A. Afogados
    Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
  • B. Poço da Panela
    Poço da Panela is a historic and traditionally residential neighborhood located along the Capibaribe River in the city of Recife, Brazil.
  • C. 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.
  • D. Dois Unidos
    Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • E. Currais Novos
    Currais Novos is a municipality in the interior of the Brazilian state of Rio Grande do Norte, known for its semi-arid climate, livestock farming, and mineral resources.
  • 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: Engenho do Meio
Triple: [Recife, hasPart, Engenho do Meio]
Generated description
Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Engenho do Meio
Target entity description: Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • A. Afogados
    Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
  • B. Poço da Panela
    Poço da Panela is a historic and traditionally residential neighborhood located along the Capibaribe River in the city of Recife, Brazil.
  • C. 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.
  • D. Dois Unidos
    Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • E. Currais Novos
    Currais Novos is a municipality in the interior of the Brazilian state of Rio Grande do Norte, known for its semi-arid climate, livestock farming, and mineral resources.
  • 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_69acacacf7c4819089708cf61b89903c completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad4a7cd48190b295dbd1e5327a18 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadba2e54819088a04675493fcbbb completed March 7, 2026, 10:59 p.m.
Created at: March 1, 2026, 7:45 p.m.