Triple
T2875685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beihai |
E56871
|
entity |
| Predicate | hasNotableBeach |
P1922
|
FINISHED |
| Object | Silver Beach |
E306304
|
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: Silver Beach | Statement: [Beihai, hasNotableBeach, Silver Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Beach Context triple: [Beihai, hasNotableBeach, Silver Beach]
-
A.
Silver Beach
chosen
Silver Beach is a famous scenic seaside resort area in Beihai, China, renowned for its fine white sand and gentle coastal waters.
-
B.
Silver Sands
Silver Sands is a popular sandy beach near Aberdour in Fife, Scotland, known for its scenic coastal views and recreational facilities.
-
C.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
-
D.
Seaside
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
-
E.
Sunset Beach
Sunset Beach is a famous North Shore Oahu surf spot known for its massive winter waves and picturesque sunsets.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe004a64481908f1897d9054a7368 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03153b5048190925bfacc07f2db66 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.