Triple
T23400553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niterói coastline |
E559492
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Boa Viagem Beach |
E569729
|
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: Boa Viagem Beach | Statement: [Niterói coastline, hasBeach, Boa Viagem Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boa Viagem Beach Context triple: [Niterói coastline, hasBeach, Boa Viagem Beach]
-
A.
Boa Viagem beach
chosen
Boa Viagem beach is a popular urban beach in Recife, Brazil, known for its long stretch of white sand, warm waters, and protective offshore reefs.
-
B.
Atalaia Beach
Atalaia Beach is a popular urban beachfront in Aracaju, Brazil, known for its long promenade, recreational areas, and vibrant seaside atmosphere.
-
C.
Malhão Beach
Malhão Beach is a scenic, relatively wild Atlantic beach on Portugal’s Alentejo coast, known for its dunes, cliffs, and unspoiled natural setting near Odemira.
-
D.
Refúgio Beach
Refúgio Beach is a tranquil, scenic seaside destination near Aracaju in Brazil’s Sergipe state, known for its calm waters and relaxed atmosphere.
-
E.
Arpoador Beach
Arpoador Beach is a popular Rio de Janeiro surf spot and sunset viewpoint known for its rocky outcrop and scenic views of the city’s coastline.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5df194bc819084aa4de85966c68f |
completed | May 19, 2026, 12:56 p.m. |
Created at: April 17, 2026, 5:37 p.m.