Triple
T3394952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Shore (Oahu) |
E71505
|
entity |
| Predicate | famousBeach |
P49392
|
FINISHED |
| Object | Sunset Beach |
E57626
|
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: Sunset Beach | Statement: [North Shore (Oahu), famousBeach, Sunset Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunset Beach Context triple: [North Shore (Oahu), famousBeach, Sunset Beach]
-
A.
Sunset Beach
chosen
Sunset Beach is a famous North Shore Oahu surf spot known for its massive winter waves and picturesque sunsets.
-
B.
Sunset Beach
Sunset Beach is a coastal suburb in Cape Town, South Africa, known for its scenic views of Table Mountain and popularity with kitesurfers and windsurfers.
-
C.
Silver Beach
Silver Beach is a famous scenic seaside resort area in Beihai, China, renowned for its fine white sand and gentle coastal waters.
-
D.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
-
E.
Seaside
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb85487088190b8a4ec546ff8a461 |
completed | March 8, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35464d9a88190aec3a7597cecff21 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:14 p.m.