Triple
T7274015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boa Vista Creole |
E162978
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Boa Vista |
E105258
|
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: Boa Vista | Statement: [Boa Vista Creole, spokenIn, Boa Vista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boa Vista Context triple: [Boa Vista Creole, spokenIn, Boa Vista]
-
A.
Boa Vista
chosen
Boa Vista is one of Cape Verde’s easternmost islands, known for its extensive sandy beaches, desert-like landscapes, and tourism-focused resorts.
-
B.
Boa Vista
Boa Vista is a central neighborhood in Recife, Brazil, known for its historic architecture, commercial activity, and cultural significance.
-
C.
São Luís Island
São Luís Island is a large Atlantic coastal island in northeastern Brazil that hosts the city of São Luís, capital of the state of Maranhão.
-
D.
São Cristóvão
São Cristóvão is one of Brazil’s oldest colonial cities, known for its well-preserved historic center and UNESCO-listed São Francisco Square.
-
E.
São Cristóvão
São Cristóvão was one of the ships in the Portuguese fleet commanded by Bartolomeu Dias during his pioneering voyage around the Cape of Good Hope in the late 15th century.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb0de9f48190807dd148758bad62 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db2936dc8190aed38888bb5e47b8 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:58 p.m.