Triple
T12312480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia Grande |
E293513
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | São Vicente |
E293520
|
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: São Vicente | Statement: [Praia Grande, adjacentTo, São Vicente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Vicente Context triple: [Praia Grande, adjacentTo, São Vicente]
-
A.
São Vicente
chosen
São Vicente is a coastal Brazilian city in the state of São Paulo, recognized as one of the country’s oldest European-founded settlements.
-
B.
São Vicente
São Vicente is a prominent island in Cape Verde known for its cultural hub Mindelo, vibrant music scene, and important Atlantic port.
-
C.
São Fidélis
São Fidélis is a municipality in the state of Rio de Janeiro, Brazil, known for its historic architecture and location along the Paraíba do Sul River.
-
D.
Ilhéus
Ilhéus is a historic coastal city in northeastern Brazil known for its cacao production, beaches, and role as the setting of several novels by writer Jorge Amado.
-
E.
São Simão
São Simão is a Brazilian riverside municipality known for its location along the Paranaíba River and its role in regional agriculture and hydroelectric power.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.