Triple

T1169972
Position Surface form Disambiguated ID Type / Status
Subject Recife E24891 entity
Predicate hasPart P35 FINISHED
Object Cordeiro
Cordeiro is a neighborhood within the city of Recife in northeastern Brazil.
E132985 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: Cordeiro | Statement: [Recife, hasPart, Cordeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cordeiro
Context triple: [Recife, hasPart, Cordeiro]
  • A. Nova Cruz
    Nova Cruz is a municipality in the Brazilian state of Rio Grande do Norte, known as a regional commercial and service center in the Agreste Potiguar area.
  • B. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • C. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • D. Tiago
    Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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: Cordeiro
Triple: [Recife, hasPart, Cordeiro]
Generated description
Cordeiro is a neighborhood within the city of Recife in northeastern Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cordeiro
Target entity description: Cordeiro is a neighborhood within the city of Recife in northeastern Brazil.
  • A. Nova Cruz
    Nova Cruz is a municipality in the Brazilian state of Rio Grande do Norte, known as a regional commercial and service center in the Agreste Potiguar area.
  • B. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • C. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • D. Tiago
    Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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_69a4bce821b481908bc278a3fa7973f4 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.