Triple
T7179717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braga |
E167414
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Praia |
E146784
|
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: [Braga, hasTwinTown, Praia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praia Context triple: [Braga, hasTwinTown, Praia]
-
A.
Praia
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
chosen
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 coastal city in southeastern Brazil known for its extensive urban beaches and role as a major seaside destination in the state of São Paulo.
-
E.
Porto das Dunas
Porto das Dunas is a popular beach and resort area in Aquiraz, Ceará, Brazil, known for its extensive sandy shoreline, seaside hotels, and the Beach Park water park complex.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8b9756481908f35bceefb77ddce |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b935eb088190acb0b8a6b75addbb |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.