Triple
T7441084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suyeong Bay |
E171753
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Haeundae Beach |
E30649
|
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: Haeundae Beach | Statement: [Suyeong Bay, near, Haeundae Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haeundae Beach Context triple: [Suyeong Bay, near, Haeundae Beach]
-
A.
Haeundae Beach
chosen
Haeundae Beach is a famous and popular sandy beach in Busan, South Korea, renowned for its vibrant seaside atmosphere, festivals, and coastal skyline.
-
B.
Songdo Beach
Songdo Beach is a popular seaside destination in Busan, South Korea, known as the country’s first public beach and a hub for coastal recreation and cultural events.
-
C.
Gwangalli Beach
Gwangalli Beach is a popular urban beach in Busan, South Korea, famed for its fine sand, vibrant nightlife, and panoramic views of the illuminated Gwangan Bridge.
-
D.
Songjeong Beach
Songjeong Beach is a popular sandy beach in Busan, South Korea, known for its gentle waves, surfing spots, and relaxed atmosphere compared to the city's more crowded urban beaches.
-
E.
Busan waterfront
The Busan waterfront is a bustling coastal area in South Korea’s second-largest city, known for its busy port, seafood markets, and scenic seaside promenades.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34d84008190936af2b3670ef210 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c54c5ec8190bc2adf5a19fdea1c |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:13 p.m.