Triple
T21622796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheonggyecheon Stream |
E533618
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Jongno shopping streets |
—
|
NE NERFINISHED |
How this triple was built (3 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: Jongno shopping streets | Statement: [Cheonggyecheon Stream, hasNearbyAttraction, Jongno shopping streets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jongno shopping streets Context triple: [Cheonggyecheon Stream, hasNearbyAttraction, Jongno shopping streets]
-
A.
Gwangbok-dong shopping street
Gwangbok-dong shopping street is a popular commercial district in Busan, South Korea, known for its bustling pedestrian-friendly avenues lined with fashion boutiques, cafes, and local shops.
-
B.
Sinchon shopping district
Sinchon shopping district is a bustling commercial and entertainment area in western Seoul known for its youth-oriented shops, restaurants, and nightlife centered around nearby universities.
-
C.
Seomyeon commercial district
Seomyeon commercial district is one of Busan’s busiest downtown areas, known for its dense concentration of shops, restaurants, nightlife, and entertainment venues.
-
D.
Hongdae Walking Street
Hongdae Walking Street is a vibrant pedestrian area in Seoul known for its indie music scene, street performances, nightlife, and youth culture centered around Hongik University.
-
E.
Myeongdong
Myeongdong is a major shopping and entertainment district in central Seoul, famous for its fashion boutiques, street food, and vibrant nightlife.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jongno shopping streets Target entity description: Jongno shopping streets are a bustling traditional and modern commercial district in central Seoul, known for their mix of historic shops, street food, and cultural attractions.
-
A.
Gwangbok-dong shopping street
Gwangbok-dong shopping street is a popular commercial district in Busan, South Korea, known for its bustling pedestrian-friendly avenues lined with fashion boutiques, cafes, and local shops.
-
B.
Sinchon shopping district
Sinchon shopping district is a bustling commercial and entertainment area in western Seoul known for its youth-oriented shops, restaurants, and nightlife centered around nearby universities.
-
C.
Seomyeon commercial district
Seomyeon commercial district is one of Busan’s busiest downtown areas, known for its dense concentration of shops, restaurants, nightlife, and entertainment venues.
-
D.
Hongdae Walking Street
Hongdae Walking Street is a vibrant pedestrian area in Seoul known for its indie music scene, street performances, nightlife, and youth culture centered around Hongik University.
-
E.
Myeongdong
Myeongdong is a major shopping and entertainment district in central Seoul, famous for its fashion boutiques, street food, and vibrant nightlife.
- F. None of above. chosen
Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bb0c42c8190997fbeb7a764d60e |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.