Triple
T20168748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iracema Beach |
E491896
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Fortaleza tourism circuit |
—
|
NE NERFINISHED |
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: Fortaleza tourism circuit | Statement: [Iracema Beach, partOf, Fortaleza tourism circuit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortaleza tourism circuit Context triple: [Iracema Beach, partOf, Fortaleza tourism circuit]
-
A.
Fortaleza
chosen
Fortaleza is a large coastal city in northeastern Brazil known for its beaches, tourism, and role as the capital of the state of Ceará.
-
B.
Boa Viagem
Boa Viagem is a famous beachfront neighborhood in Recife, Brazil, known for its long urban beach, high-rise skyline, and vibrant tourist scene.
-
C.
Largo Prior do Crato
Largo Prior do Crato is a historic square in Angra do Heroísmo on Terceira Island in the Azores, Portugal, known for its prominent civic and architectural landmarks.
-
D.
Praia do Forte
Praia do Forte is a popular urban beach in Cabo Frio, Brazil, known for its wide stretch of white sand, clear waters, and vibrant tourist infrastructure.
-
E.
Praia do Forte
Praia do Forte is a popular Brazilian coastal village known for its palm-lined beaches, sea turtle conservation project, and eco-tourism resorts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66846f4ec81908b0dc6a6e0ec27dd |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.