Triple
T7763638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songdo Beach |
E176088
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Songdo Bay |
E176088
|
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: Songdo Bay | Statement: [Songdo Beach, hasPart, Songdo Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Songdo Bay Context triple: [Songdo Beach, hasPart, Songdo Bay]
-
A.
Yeongjong Island
Yeongjong Island is a major island off the coast of Incheon, South Korea, best known as the site of Incheon International Airport, the country’s primary international gateway.
-
B.
Songdo Beach
chosen
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.
Dongnae Oncheon
Dongnae Oncheon is a historic hot spring resort area in Busan, South Korea, renowned for its therapeutic mineral waters and traditional bathhouses.
-
D.
Suyeong Bay
Suyeong Bay is a coastal bay in Busan, South Korea, known for its scenic waterfront, urban skyline views, and proximity to popular beaches and the Gwangan Bridge.
-
E.
Seogwipo
Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704061d1881909b5b42bb93d2b8a7 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7da8b848190b378f694118dfa19 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:09 p.m.