Triple
T7681214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boa Vista (Cape Verde) |
E173996
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Estância de Baixo
Estância de Baixo is a small settlement on the island of Boa Vista in Cape Verde, known for its rural character and proximity to the island’s coastal areas.
|
E680942
|
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: Estância de Baixo | Statement: [Boa Vista (Cape Verde), hasSettlement, Estância de Baixo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estância de Baixo Context triple: [Boa Vista (Cape Verde), hasSettlement, Estância de Baixo]
-
A.
Estância
Estância is a municipality in the Brazilian state of Sergipe, known for its coastal location and traditional June festivals.
-
B.
Lajeado
Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Estreitinho
Estreitinho is the highest peak on Corvo Island in Portugal’s Azores archipelago.
-
D.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
E.
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
- 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: Estância de Baixo Triple: [Boa Vista (Cape Verde), hasSettlement, Estância de Baixo]
Generated description
Estância de Baixo is a small settlement on the island of Boa Vista in Cape Verde, known for its rural character and proximity to the island’s coastal areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Estância de Baixo Target entity description: Estância de Baixo is a small settlement on the island of Boa Vista in Cape Verde, known for its rural character and proximity to the island’s coastal areas.
-
A.
Estância
Estância is a municipality in the Brazilian state of Sergipe, known for its coastal location and traditional June festivals.
-
B.
Lajeado
Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Estreitinho
Estreitinho is the highest peak on Corvo Island in Portugal’s Azores archipelago.
-
D.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
E.
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701ffc1fc8190bc9c2b1f3bb37f0d |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a24de3a48190a92009b6092b09d0 |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a30d3fac8190bec7e2748bc8f17e |
completed | March 29, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3d2e660819099f90a9e43310381 |
completed | March 29, 2026, 4 a.m. |
Created at: March 27, 2026, 4:01 p.m.