Triple
T8940719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedra Bonita |
E212892
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | São Conrado |
E747147
|
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 Conrado | Statement: [Pedra Bonita, overlooks, São Conrado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Conrado Context triple: [Pedra Bonita, overlooks, São Conrado]
-
A.
São Conrado
chosen
São Conrado is an affluent beachfront neighborhood in Rio de Janeiro known for its luxury high-rises, hang-gliding from Pedra Bonita, and proximity to the massive Rocinha favela.
-
B.
Ponta do Sol
Ponta do Sol is a coastal town on the island of Santo Antão in Cape Verde, known for its dramatic oceanfront setting and role as a local administrative and fishing center.
-
C.
Taboão da Serra
Taboão da Serra is a densely populated municipality in the São Paulo metropolitan area in southeastern Brazil.
-
D.
Alto da Boa Vista
Alto da Boa Vista is a mountainous neighborhood in Rio de Janeiro known for its lush Atlantic Forest, cool climate, and access to trails and waterfalls within Tijuca National Park.
-
E.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b8b37c8190bce6e049de8cf732 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1efdea881908b2c264d1c39c6ec |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.