Triple
T8436366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahia |
E199233
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Porto Seguro
Porto Seguro is a historic coastal city in northeastern Brazil, known as one of the first landing sites of Portuguese explorers and today a popular beach tourism destination.
|
E733760
|
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: Porto Seguro | Statement: [Bahia, contains, Porto Seguro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Seguro Context triple: [Bahia, contains, Porto Seguro]
-
A.
São Salvador do Mundo
São Salvador do Mundo is a municipality on Santiago Island in Cape Verde, known for its rural communities and mountainous inland landscapes.
-
B.
São Sebastião
São Sebastião is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
C.
São Sebastião
São Sebastião is a coastal municipality in the state of São Paulo, Brazil, known for its beaches, tourism, and role as a port city.
-
D.
Port of Salvador
The Port of Salvador is a major Brazilian seaport and cargo hub on the Atlantic coast, serving as a key gateway for trade in northeastern Brazil.
-
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: Porto Seguro Triple: [Bahia, contains, Porto Seguro]
Generated description
Porto Seguro is a historic coastal city in northeastern Brazil, known as one of the first landing sites of Portuguese explorers and today a popular beach tourism destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porto Seguro Target entity description: Porto Seguro is a historic coastal city in northeastern Brazil, known as one of the first landing sites of Portuguese explorers and today a popular beach tourism destination.
-
A.
São Salvador do Mundo
São Salvador do Mundo is a municipality on Santiago Island in Cape Verde, known for its rural communities and mountainous inland landscapes.
-
B.
São Sebastião
São Sebastião is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
C.
São Sebastião
São Sebastião is a coastal municipality in the state of São Paulo, Brazil, known for its beaches, tourism, and role as a port city.
-
D.
Port of Salvador
The Port of Salvador is a major Brazilian seaport and cargo hub on the Atlantic coast, serving as a key gateway for trade in northeastern Brazil.
-
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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe132a6f881908f990089792fccc4 |
completed | March 31, 2026, 2:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d7d19608190ad3160fc00f8d4b0 |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1ea3aaf881909562b65cefb20089 |
completed | April 2, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f8d748c81909b331ed822919447 |
completed | April 2, 2026, 7:49 a.m. |
Created at: March 30, 2026, 6:08 p.m.