Triple
T1816455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanabara Bay |
E40446
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | São Gonçalo |
E211032
|
NE FINISHED |
How this triple was built (2 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: São Gonçalo | Statement: [Guanabara Bay, borders, São Gonçalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Gonçalo Context triple: [Guanabara Bay, borders, São Gonçalo]
-
A.
Niterói
chosen
Niterói is a coastal city in the state of Rio de Janeiro, Brazil, known for its beaches, views of Rio across the bay, and iconic modernist architecture by Oscar Niemeyer.
-
B.
Laranjeiras
Laranjeiras is a historic colonial-era city in the Brazilian state of Sergipe, known for its preserved architecture and rich Afro-Brazilian cultural traditions.
-
C.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
-
D.
Centro (Rio de Janeiro)
Centro (Rio de Janeiro) is the historic downtown district of Rio de Janeiro, Brazil, known as the city’s main commercial, financial, and cultural hub.
-
E.
Campinas
Campinas is a major city in the state of São Paulo, Brazil, known as an important industrial, technological, and transportation hub in the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65f614888190a475f7df627d5f0a |
completed | March 6, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3c192f08190a1a134e541be1103 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:32 p.m.