Triple
T1879680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipanema Beach |
E39823
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Arpoador |
E209292
|
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: Arpoador | Statement: [Ipanema Beach, hasViewOf, Arpoador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arpoador Context triple: [Ipanema Beach, hasViewOf, Arpoador]
-
A.
Arpoador
chosen
Arpoador is a famous rocky peninsula and beach area in Rio de Janeiro, Brazil, renowned for its surfing waves and sunset views over the ocean.
-
B.
Adoian
Adoian is the original Armenian surname of the influential abstract expressionist painter Arshile Gorky.
-
C.
Andru
Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
-
D.
Aletes
Aletes is a figure from Greek mythology, traditionally regarded as a descendant of Heracles and associated with the royal lineage that ruled parts of the Peloponnese.
-
E.
Arki
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fa3d388190993073ffb0f60a84 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae44f6c8190a5924609863030a4 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.