Triple
T10303270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Região Metropolitana do Rio de Janeiro |
E241685
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Maricá |
E789236
|
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: Maricá | Statement: [Região Metropolitana do Rio de Janeiro, containsMunicipality, Maricá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maricá Context triple: [Região Metropolitana do Rio de Janeiro, containsMunicipality, Maricá]
-
A.
Maricá
chosen
Maricá is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its beaches, lagoons, and growing residential communities.
-
B.
São João de Meriti
São João de Meriti is a densely populated municipality in the Baixada Fluminense region of Rio de Janeiro state, Brazil, known as a major suburban area of the Rio de Janeiro metropolitan region.
-
C.
São João da Barra
São João da Barra is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its beaches and port activities.
-
D.
Niterói
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.
-
E.
Macaé
Macaé is a coastal city in southeastern Brazil known for its offshore oil industry and role as a major hub for petroleum exploration.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30846108190875042ab1c0204e0 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f3814dc8190b9da0ee680209d51 |
completed | April 10, 2026, 6:56 a.m. |
Created at: April 6, 2026, 11:45 a.m.