Triple
T10380029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leme Beach |
E244613
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Copacabana shoreline |
E39159
|
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: Copacabana shoreline | Statement: [Leme Beach, partOf, Copacabana shoreline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copacabana shoreline Context triple: [Leme Beach, partOf, Copacabana shoreline]
-
A.
Copacabana Beach
chosen
Copacabana Beach is a famous crescent-shaped urban beach in Rio de Janeiro, Brazil, renowned for its lively promenade, white sands, and vibrant cultural and nightlife scene.
-
B.
Copacabana
Copacabana is a Bolivian town on the shores of Lake Titicaca, known as a religious pilgrimage site and a gateway for exploring the lake’s islands.
-
C.
Copacabana
Copacabana is a coastal suburb on the Central Coast of New South Wales, Australia, known for its sandy beach and relaxed seaside atmosphere.
-
D.
Copacabana
Copacabana is a municipality in the Antioquia Department of Colombia, located just north of Medellín in the Aburrá Valley.
-
E.
Barra da Tijuca Beach
Barra da Tijuca Beach is a long, popular oceanfront beach in Rio de Janeiro known for its wide sands, strong waves, and vibrant surf and kitesurf culture.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7958803e88190a7bbeda4f2c6f32c |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:03 p.m.