Triple
T1971915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapa |
E42819
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Fundição Progresso
Fundição Progresso is a historic cultural and entertainment venue in Rio de Janeiro known for hosting concerts, festivals, and diverse artistic events.
|
E220260
|
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: Fundição Progresso | Statement: [Lapa, hasLandmark, Fundição Progresso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fundição Progresso Context triple: [Lapa, hasLandmark, Fundição Progresso]
-
A.
Engenho do Meio
Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Fogão
Fogão is the popular nickname of Brazilian football club Botafogo de Futebol e Regatas, one of Rio de Janeiro’s traditional teams.
-
C.
Dois Unidos
Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
D.
Envigado
Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
-
E.
Amada
Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
- 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: Fundição Progresso Triple: [Lapa, hasLandmark, Fundição Progresso]
Generated description
Fundição Progresso is a historic cultural and entertainment venue in Rio de Janeiro known for hosting concerts, festivals, and diverse artistic events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fundição Progresso Target entity description: Fundição Progresso is a historic cultural and entertainment venue in Rio de Janeiro known for hosting concerts, festivals, and diverse artistic events.
-
A.
Engenho do Meio
Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Fogão
Fogão is the popular nickname of Brazilian football club Botafogo de Futebol e Regatas, one of Rio de Janeiro’s traditional teams.
-
C.
Dois Unidos
Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
D.
Envigado
Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
-
E.
Amada
Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f275408190affa93f8cb6a8184 |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbdb5d7c8190ab3e7c368041c641 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfcae8a348190aa5688d0d183c323 |
completed | March 8, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd713c4081908a2fae2fada76dae |
completed | March 8, 2026, 10:51 p.m. |
Created at: March 4, 2026, 7:36 p.m.