Triple
T14857945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidency of Cape Verde |
E349408
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Praia |
E69996
|
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: Praia | Statement: [Presidency of Cape Verde, seat, Praia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praia Context triple: [Presidency of Cape Verde, seat, Praia]
-
A.
Praia
chosen
Praia is the capital and largest city of Cape Verde, located on the southern coast of Santiago Island in the central Atlantic Ocean.
-
B.
Praia Gonçalo
Praia Gonçalo is a small coastal village on the island of Maio in Cape Verde, known for its quiet beaches and traditional island lifestyle.
-
C.
Praia Dona Ana
Praia Dona Ana is a picturesque, cliff-backed sandy beach in the Algarve region of southern Portugal, renowned for its clear waters and dramatic rock formations.
-
D.
Praia Grande
Praia Grande is a popular Atlantic beach in the Sintra region of Portugal, known for its long sandy shoreline, strong surf, and scenic cliffs.
-
E.
Praia Grande
Praia Grande is a popular sandy beach near the village of Ferragudo in Portugal’s Algarve region, known for its calm waters and family-friendly atmosphere.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44598e48190b759a05ed2d9ecaf |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a87dd88190b0f0c3b9b625a7e6 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:54 a.m.