Triple
T6758965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilha do Zeca |
E154540
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Ilha do Retiro |
E137927
|
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: Ilha do Retiro | Statement: [Ilha do Zeca, alternateName, Ilha do Retiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilha do Retiro Context triple: [Ilha do Zeca, alternateName, Ilha do Retiro]
-
A.
Ilha do Retiro
chosen
Ilha do Retiro is a football stadium in Recife, Brazil, best known as the home ground of Sport Club do Recife.
-
B.
Largo da Lapa
Largo da Lapa is a well-known public square in Rio de Janeiro’s historic Lapa neighborhood, recognized for its vibrant nightlife, cultural events, and traditional bars.
-
C.
Arcos da Lapa
Arcos da Lapa is a historic 18th-century aqueduct and iconic architectural landmark located in the Lapa neighborhood of Rio de Janeiro, Brazil.
-
D.
Jardim da Estrela
Jardim da Estrela is a large, picturesque 19th-century public garden in Lisbon known for its landscaped lawns, lakes, and ornate bandstand opposite the Basílica da Estrela.
-
E.
Barra da Tijuca
Barra da Tijuca is a large, modern beachfront neighborhood in Rio de Janeiro, Brazil, known for its extensive beaches, high-rise developments, and role as a major hub during the 2016 Summer Olympics.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f90b6c8190b4a17a23aa9ba0fb |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712b0926c81909601f21407526fd9 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:11 p.m.