Triple
T8539982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagner Moura |
E202170
|
entity |
| Predicate | hasResidence |
P75
|
FINISHED |
| Object | Rio de Janeiro, Brazil |
E6266
|
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: Rio de Janeiro, Brazil | Statement: [Wagner Moura, hasResidence, Rio de Janeiro, Brazil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio de Janeiro, Brazil Context triple: [Wagner Moura, hasResidence, Rio de Janeiro, Brazil]
-
A.
Rio de Janeiro
chosen
Rio de Janeiro is a major Brazilian coastal city famed for its stunning beaches, dramatic landscape, Carnival festival, and iconic Christ the Redeemer statue.
-
B.
Río de Janeiro
Río de Janeiro is a station on Buenos Aires Underground Line A in Argentina’s capital city.
-
C.
Salvador, Bahia, Brazil
Salvador, the capital of Brazil’s Bahia state, is a major coastal city known for its Afro-Brazilian culture, colonial architecture, and historic role as the country’s first capital.
-
D.
Rio de Janeiro Big Four
The Rio de Janeiro Big Four are the four most prominent and historically successful football clubs from Rio de Janeiro that dominate the state’s football scene.
-
E.
Port of Rio de Janeiro
The Port of Rio de Janeiro is one of Brazil’s principal seaports, serving as a major hub for cargo, passenger traffic, and maritime trade along the country’s southeastern coast.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6dfb2bc8190a41e32eca3c824c2 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea86036a881909cd1744cdb5b7a7f |
completed | April 2, 2026, 5:33 p.m. |
Created at: March 30, 2026, 6:18 p.m.