Triple
T17733759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwacheon |
E442655
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Seoul Land
Seoul Land is a major amusement park in Gwacheon, South Korea, featuring a variety of rides, themed zones, and family-friendly attractions.
|
E1285532
|
NE FINISHED |
How this triple was built (4 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: Seoul Land | Statement: [Gwacheon, hasAttraction, Seoul Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seoul Land Context triple: [Gwacheon, hasAttraction, Seoul Land]
-
A.
Seoul Special City
Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
-
B.
Suwon
Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
-
C.
Itaewon
Itaewon is a vibrant multicultural district in Seoul known for its international cuisine, nightlife, and diverse expatriate community.
-
D.
Sudogwon
Sudogwon is the Seoul Capital Area of South Korea, encompassing Seoul, Incheon, and surrounding Gyeonggi Province as the country’s largest and most populous metropolitan region.
-
E.
Pangyo
Pangyo is a planned high-tech new town in Seongnam, South Korea, known as a major IT and startup hub often dubbed the "Korean Silicon Valley."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Seoul Land Triple: [Gwacheon, hasAttraction, Seoul Land]
Generated description
Seoul Land is a major amusement park in Gwacheon, South Korea, featuring a variety of rides, themed zones, and family-friendly attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seoul Land Target entity description: Seoul Land is a major amusement park in Gwacheon, South Korea, featuring a variety of rides, themed zones, and family-friendly attractions.
-
A.
Seoul Special City
Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
-
B.
Suwon
Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
-
C.
Itaewon
Itaewon is a vibrant multicultural district in Seoul known for its international cuisine, nightlife, and diverse expatriate community.
-
D.
Sudogwon
Sudogwon is the Seoul Capital Area of South Korea, encompassing Seoul, Incheon, and surrounding Gyeonggi Province as the country’s largest and most populous metropolitan region.
-
E.
Pangyo
Pangyo is a planned high-tech new town in Seongnam, South Korea, known as a major IT and startup hub often dubbed the "Korean Silicon Valley."
- F. None of above. chosen
Provenance (5 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e86f188190a5dd7fb32fd04c7b |
completed | April 19, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242f775c88190b0aa341ec23bad73 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a0246d15ae081908b43138fb91c3ccd |
completed | May 11, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02473e08848190ac9b219996169df3 |
completed | May 11, 2026, 9:16 p.m. |
Created at: April 10, 2026, 10:08 a.m.