Triple
T1879701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipanema Beach |
E39823
|
entity |
| Predicate | hasZone |
P6793
|
FINISHED |
| Object |
Posto 10
Posto 10 is a popular lifeguard station area and beach section in Ipanema, Rio de Janeiro, known for its vibrant social scene and scenic oceanfront.
|
E221182
|
NE FINISHED |
How this triple was built (4 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: Posto 10 | Statement: [Ipanema Beach, hasZone, Posto 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Posto 10 Context triple: [Ipanema Beach, hasZone, Posto 10]
-
A.
Posto 9
Posto 9 is a famous and trendy stretch of Ipanema Beach in Rio de Janeiro, known for its lively social scene and iconic views.
-
B.
Posto 8
Posto 8 is a popular lifeguard-station beach area in Ipanema, Rio de Janeiro, known for its lively atmosphere and diverse crowds.
-
C.
Ponto de Parada
Ponto de Parada is a neighborhood in the city of Recife, Brazil, known primarily as a residential area within the metropolitan region.
-
D.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
-
E.
Linha do Tiro
Linha do Tiro is a neighborhood located in the city of Recife, in Brazil’s northeastern state of Pernambuco.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Posto 10 Triple: [Ipanema Beach, hasZone, Posto 10]
Generated description
Posto 10 is a popular lifeguard station area and beach section in Ipanema, Rio de Janeiro, known for its vibrant social scene and scenic oceanfront.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Posto 10 Target entity description: Posto 10 is a popular lifeguard station area and beach section in Ipanema, Rio de Janeiro, known for its vibrant social scene and scenic oceanfront.
-
A.
Posto 9
Posto 9 is a famous and trendy stretch of Ipanema Beach in Rio de Janeiro, known for its lively social scene and iconic views.
-
B.
Posto 8
Posto 8 is a popular lifeguard-station beach area in Ipanema, Rio de Janeiro, known for its lively atmosphere and diverse crowds.
-
C.
Ponto de Parada
Ponto de Parada is a neighborhood in the city of Recife, Brazil, known primarily as a residential area within the metropolitan region.
-
D.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
-
E.
Linha do Tiro
Linha do Tiro is a neighborhood located in the city of Recife, in Brazil’s northeastern state of Pernambuco.
- F. None of above. chosen
Provenance (5 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fa3d388190993073ffb0f60a84 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030bfbcc8190842a2bc69afb0db2 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae03647d5881908c5952dd3e2015a7 |
completed | March 8, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae03f3611c8190b1cb90c9e59429cc |
completed | March 8, 2026, 11:19 p.m. |
Created at: March 4, 2026, 7:34 p.m.