Triple
T10722745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macaé |
E252862
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Capital do Petróleo
Capital do Petróleo is a Brazilian city renowned as a major hub for the country’s offshore oil industry.
|
E882209
|
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: Capital do Petróleo | Statement: [Macaé, nickname, Capital do Petróleo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capital do Petróleo Context triple: [Macaé, nickname, Capital do Petróleo]
-
A.
Cidade Nova
Cidade Nova is a central neighborhood in Rio de Janeiro, Brazil, known for its mix of residential areas, government offices, and important transport links.
-
B.
Capital do Trabalho
Capital do Trabalho is a nickname for Campina Grande, a major city in Brazil’s Paraíba state known for its strong industrial base and vibrant economic activity.
-
C.
Engenho de Dentro
Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
-
D.
Pira da Pátria
Pira da Pátria is a monumental eternal flame in Brasília that symbolizes national unity and honors Brazil’s independence and civic ideals.
-
E.
Aleijadinho
Aleijadinho was an influential 18th-century Brazilian sculptor and architect, renowned for his baroque and rococo religious works in colonial Brazil.
- 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: Capital do Petróleo Triple: [Macaé, nickname, Capital do Petróleo]
Generated description
Capital do Petróleo is a Brazilian city renowned as a major hub for the country’s offshore oil industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Capital do Petróleo Target entity description: Capital do Petróleo is a Brazilian city renowned as a major hub for the country’s offshore oil industry.
-
A.
Cidade Nova
Cidade Nova is a central neighborhood in Rio de Janeiro, Brazil, known for its mix of residential areas, government offices, and important transport links.
-
B.
Capital do Trabalho
Capital do Trabalho is a nickname for Campina Grande, a major city in Brazil’s Paraíba state known for its strong industrial base and vibrant economic activity.
-
C.
Engenho de Dentro
Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
-
D.
Pira da Pátria
Pira da Pátria is a monumental eternal flame in Brasília that symbolizes national unity and honors Brazil’s independence and civic ideals.
-
E.
Aleijadinho
Aleijadinho was an influential 18th-century Brazilian sculptor and architect, renowned for his baroque and rococo religious works in colonial Brazil.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb738f8488190837a675b82ce75aa |
completed | April 12, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_69dbbbe545748190b2bdbc3a75224eb0 |
completed | April 12, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbc59b315081909362892f5b989d25 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:13 p.m.