Triple
T5689170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeast Region of Brazil |
E125386
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Salvador
Salvador is a historic coastal city in northeastern Brazil known for its Afro-Brazilian culture, colonial architecture, and vibrant Carnival celebrations.
|
E543781
|
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: Salvador | Statement: [Northeast Region of Brazil, capital, Salvador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salvador Context triple: [Northeast Region of Brazil, capital, Salvador]
-
A.
Salvador
"Salvador" is a 1986 political drama film directed by Oliver Stone, in which James Woods delivers an acclaimed performance as a cynical journalist covering the Salvadoran Civil War.
-
B.
Salvador
Salvador is a metro station on Line 1 of the Santiago Metro in Santiago, Chile.
-
C.
Salvador
Salvador is the given name of the renowned Spanish surrealist artist Salvador Dalí.
-
D.
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.
-
E.
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.
- 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: Salvador Triple: [Northeast Region of Brazil, capital, Salvador]
Generated description
Salvador is a historic coastal city in northeastern Brazil known for its Afro-Brazilian culture, colonial architecture, and vibrant Carnival celebrations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salvador Target entity description: Salvador is a historic coastal city in northeastern Brazil known for its Afro-Brazilian culture, colonial architecture, and vibrant Carnival celebrations.
-
A.
Salvador
Salvador is the given name of the renowned Spanish surrealist artist Salvador Dalí.
-
B.
Salvador
"Salvador" is a 1986 political drama film directed by Oliver Stone, in which James Woods delivers an acclaimed performance as a cynical journalist covering the Salvadoran Civil War.
-
C.
Salvador
Salvador is a metro station on Line 1 of the Santiago Metro in Santiago, Chile.
-
D.
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.
-
E.
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.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e1c6148190aeae7620bd9ee9d4 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dd1758c8190ad92f250e5927c0b |
completed | March 22, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_69c08c8fc45c8190acca1193d4de5d2a |
completed | March 23, 2026, 12:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08d08d76c8190b63f42b48f97749c |
completed | March 23, 2026, 12:44 a.m. |
Created at: March 22, 2026, 3:44 p.m.