Triple
T12727295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elevador Lacerda |
E304139
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
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.
|
E1000135
|
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 Alta | Statement: [Elevador Lacerda, connects, Cidade Alta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cidade Alta Context triple: [Elevador Lacerda, connects, Cidade Alta]
-
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.
Engenho de Dentro
Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
-
C.
Vale dos Sinos
Vale dos Sinos is a populous and industrialized region in the state of Rio Grande do Sul, Brazil, known especially for its footwear and leather industries.
-
D.
Morando
Morando is an Italian surname most notably borne by Bernardo Morando, a Renaissance architect active in Poland.
-
E.
Feira Nova
Feira Nova is a small municipality located in the semi-arid interior region of the state of Sergipe, 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: Cidade Alta Triple: [Elevador Lacerda, connects, Cidade Alta]
Generated description
Cidade Alta is the historic upper district of Salvador, Brazil, known for its colonial architecture, government buildings, and panoramic views of the bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cidade Alta Target entity description: Cidade Alta is the historic upper district of Salvador, Brazil, known for its colonial architecture, government buildings, and panoramic views of the bay.
-
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.
Engenho de Dentro
Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
-
C.
Vale dos Sinos
Vale dos Sinos is a populous and industrialized region in the state of Rio Grande do Sul, Brazil, known especially for its footwear and leather industries.
-
D.
Morando
Morando is an Italian surname most notably borne by Bernardo Morando, a Renaissance architect active in Poland.
-
E.
Feira Nova
Feira Nova is a small municipality located in the semi-arid interior region of the state of Sergipe, 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_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_69f67c884bd08190bf0022e8303a4987 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67de172088190b055ace0fdcfd1fd |
completed | May 2, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ec570a881909c98471b701999f0 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:25 p.m.