Triple
T21660682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salesópolis |
E534584
|
entity |
| Predicate | nearbyMunicipality |
P4647
|
FINISHED |
| Object |
Paraibuna
Paraibuna is a small municipality in the state of São Paulo, Brazil, known for its rural landscape and the Paraibuna River and reservoir that cross its territory.
|
E1495559
|
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: Paraibuna | Statement: [Salesópolis, nearbyMunicipality, Paraibuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paraibuna Context triple: [Salesópolis, nearbyMunicipality, Paraibuna]
-
A.
Coruripe
Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
-
B.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
-
C.
Puruborá
Puruborá is an indigenous language of Brazil belonging to the Tupian family, traditionally spoken by the Puruborá people of the Amazon region.
-
D.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
-
E.
Aquidabã
Aquidabã is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known as the sertão.
- 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: Paraibuna Triple: [Salesópolis, nearbyMunicipality, Paraibuna]
Generated description
Paraibuna is a small municipality in the state of São Paulo, Brazil, known for its rural landscape and the Paraibuna River and reservoir that cross its territory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paraibuna Target entity description: Paraibuna is a small municipality in the state of São Paulo, Brazil, known for its rural landscape and the Paraibuna River and reservoir that cross its territory.
-
A.
Coruripe
Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
-
B.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
-
C.
Puruborá
Puruborá is an indigenous language of Brazil belonging to the Tupian family, traditionally spoken by the Puruborá people of the Amazon region.
-
D.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
-
E.
Aquidabã
Aquidabã is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known as the sertão.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c07bcb88190a9864672c20325ff |
completed | April 27, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a159c33788190bf71df313526b663 |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a16c278188190855335930666cede |
completed | May 17, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17a2c81481908e229ea58e61843e |
completed | May 17, 2026, 7:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.