Triple
T9438484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icaraí Inlet |
E227579
|
entity |
| Predicate | hasShore |
P969
|
FINISHED |
| Object | Icaraí Beach |
E774219
|
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: Icaraí Beach | Statement: [Icaraí Inlet, hasShore, Icaraí Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Icaraí Beach Context triple: [Icaraí Inlet, hasShore, Icaraí Beach]
-
A.
Icaraí Beach
Icaraí Beach is a popular coastal destination in the municipality of Caucaia, Brazil, known for its strong waves, scenic shoreline, and appeal to surfers and tourists.
-
B.
Icaraí Beach
chosen
Icaraí Beach is a popular urban beach in Niterói, Brazil, known for its scenic views of Guanabara Bay and the Rio de Janeiro skyline.
-
C.
Tambaú Beach
Tambaú Beach is a popular urban beach in João Pessoa, Brazil, known for its calm waters, lively promenade, and proximity to the easternmost point of the Americas.
-
D.
Itacoatiara Beach
Itacoatiara Beach is a scenic oceanfront beach in Niterói, Brazil, known for its strong surf, dramatic rocky cliffs, and popularity among surfers and outdoor enthusiasts.
-
E.
Mucuripe Beach
Mucuripe Beach is a coastal area in Fortaleza, Brazil, known for its traditional fishing boats, seafood markets, and scenic urban shoreline.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee1c8c48190a2ae8673eee07e9a |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11053d8008190a29575149d2e027f |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:50 p.m.