Triple
T12727296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elevador Lacerda |
E304139
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Cidade Baixa
Cidade Baixa is the lower, coastal part of Salvador, Brazil, known for its bustling port, markets, and historic commercial districts.
|
E1001652
|
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: Cidade Baixa | Statement: [Elevador Lacerda, connects, Cidade Baixa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cidade Baixa Context triple: [Elevador Lacerda, connects, Cidade Baixa]
-
A.
Cidade Alta
Cidade Alta is the historic upper district of Salvador, Brazil, known for its colonial architecture, government buildings, and panoramic views of the bay.
-
B.
Catumbi
Catumbi is a traditional neighborhood in Rio de Janeiro, Brazil, known for its central location and historical urban character.
-
C.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
D.
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.
-
E.
Porto dos Casais
Porto dos Casais was the original colonial settlement that later developed into the Brazilian city of Porto Alegre.
- 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: Cidade Baixa Triple: [Elevador Lacerda, connects, Cidade Baixa]
Generated description
Cidade Baixa is the lower, coastal part of Salvador, Brazil, known for its bustling port, markets, and historic commercial districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cidade Baixa Target entity description: Cidade Baixa is the lower, coastal part of Salvador, Brazil, known for its bustling port, markets, and historic commercial districts.
-
A.
Cidade Alta
Cidade Alta is the historic upper district of Salvador, Brazil, known for its colonial architecture, government buildings, and panoramic views of the bay.
-
B.
Catumbi
Catumbi is a traditional neighborhood in Rio de Janeiro, Brazil, known for its central location and historical urban character.
-
C.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
D.
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.
-
E.
Porto dos Casais
Porto dos Casais was the original colonial settlement that later developed into the Brazilian city of Porto Alegre.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964172490819080cd022ff8290b6e |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e7dec08190b522a8f3bfde6fe2 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dac5cc8190b4bc2d81186c9266 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6869156048190b548ecd04561deb8 |
completed | May 2, 2026, 11:19 p.m. |
Created at: April 9, 2026, 5:25 p.m.