Triple
T9012234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Zone of Rio de Janeiro |
E215502
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Praça Seca
Praça Seca is a neighborhood in Rio de Janeiro known for its dense urban character and location in the city's West Zone.
|
E773584
|
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: Praça Seca | Statement: [West Zone of Rio de Janeiro, contains, Praça Seca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praça Seca Context triple: [West Zone of Rio de Janeiro, contains, Praça Seca]
-
A.
Praça de Casa Forte
Praça de Casa Forte is a historic and traditional public square in the Casa Forte neighborhood of Recife, Brazil, known for its landscaped gardens and cultural significance.
-
B.
Lajeado
Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Largo da Oliveira
Largo da Oliveira is a historic square in the medieval center of Guimarães, Portugal, known for its preserved architecture and role as a focal point of the city's UNESCO-listed old town.
-
D.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
E.
Feira Nova
Feira Nova is a small municipality located in the semi-arid interior region of the state of Sergipe, Brazil.
- 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: Praça Seca Triple: [West Zone of Rio de Janeiro, contains, Praça Seca]
Generated description
Praça Seca is a neighborhood in Rio de Janeiro known for its dense urban character and location in the city's West Zone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Praça Seca Target entity description: Praça Seca is a neighborhood in Rio de Janeiro known for its dense urban character and location in the city's West Zone.
-
A.
Praça de Casa Forte
Praça de Casa Forte is a historic and traditional public square in the Casa Forte neighborhood of Recife, Brazil, known for its landscaped gardens and cultural significance.
-
B.
Lajeado
Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Largo da Oliveira
Largo da Oliveira is a historic square in the medieval center of Guimarães, Portugal, known for its preserved architecture and role as a focal point of the city's UNESCO-listed old town.
-
D.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
E.
Feira Nova
Feira Nova is a small municipality located in the semi-arid interior region of the state of Sergipe, Brazil.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69f846f88190af65dfcf8bdd936a |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba11a6481909cac624530a77ffe |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc9868fc8190addad6b87b567277 |
completed | April 3, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfe0aafe4c81908a5b31590f6c9152 |
completed | April 3, 2026, 3:45 p.m. |
Created at: March 30, 2026, 7:06 p.m.