Triple
T10064188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Posto 9 |
E213057
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Ipanema waterfront |
E39823
|
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: Ipanema waterfront | Statement: [Posto 9, isPartOf, Ipanema waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ipanema waterfront Context triple: [Posto 9, isPartOf, Ipanema waterfront]
-
A.
Rio de Janeiro waterfront
The Rio de Janeiro waterfront is the scenic coastal area of the city known for its iconic beaches, bayside views, and proximity to major urban landmarks.
-
B.
Ipanema Beach
chosen
Ipanema Beach is a famous and fashionable stretch of sand in Rio de Janeiro, Brazil, renowned for its vibrant beach culture, scenic views, and influence on music and popular culture.
-
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.
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.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd653748190aeddf7a679028604 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbb441388190bf01925b8624377d |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 8:58 p.m.