Triple
T20002482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meireles Beach |
E494367
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Fortaleza seafront |
—
|
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 seafront | Statement: [Meireles Beach, partOf, Fortaleza seafront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortaleza seafront Context triple: [Meireles Beach, partOf, Fortaleza seafront]
-
A.
Galeão Beach
Galeão Beach is a coastal area in Rio de Janeiro, Brazil, historically significant as the namesake of the city’s main international airport.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Praia Formosa
Praia Formosa is a popular sandy beach on Santa Maria Island in the Azores, known for its calm waters and scenic coastal setting.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a2e34481908a495cc5d077c41f |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.