Triple
T14665942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinchon-dong |
E344372
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Changcheon-dong
Changcheon-dong is a neighborhood in Seodaemun-gu, Seoul, South Korea, known for its proximity to the bustling Sinchon area and its mix of residential and commercial spaces.
|
E1123155
|
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: Changcheon-dong | Statement: [Sinchon-dong, adjacentTo, Changcheon-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Changcheon-dong Context triple: [Sinchon-dong, adjacentTo, Changcheon-dong]
-
A.
Samcheong-dong
Samcheong-dong is a picturesque neighborhood in central Seoul known for its traditional hanok houses, art galleries, cafes, and proximity to historic palaces.
-
B.
Cheonghak-dong
Cheonghak-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
-
C.
Cheonghak-dong
Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
-
D.
Yeocheon-dong
Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
-
E.
Sinchang-dong
Sinchang-dong is a neighborhood (dong) located within Jung District in the coastal city of Busan, South Korea.
- 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: Changcheon-dong Triple: [Sinchon-dong, adjacentTo, Changcheon-dong]
Generated description
Changcheon-dong is a neighborhood in Seodaemun-gu, Seoul, South Korea, known for its proximity to the bustling Sinchon area and its mix of residential and commercial spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Changcheon-dong Target entity description: Changcheon-dong is a neighborhood in Seodaemun-gu, Seoul, South Korea, known for its proximity to the bustling Sinchon area and its mix of residential and commercial spaces.
-
A.
Samcheong-dong
Samcheong-dong is a picturesque neighborhood in central Seoul known for its traditional hanok houses, art galleries, cafes, and proximity to historic palaces.
-
B.
Cheonghak-dong
Cheonghak-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
-
C.
Cheonghak-dong
Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
-
D.
Yeocheon-dong
Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
-
E.
Sinchang-dong
Sinchang-dong is a neighborhood (dong) located within Jung District in the coastal city of Busan, South Korea.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64ec72bc819085fa2c21487f297e |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe6575b5548190a4298b24a1ac736c |
completed | May 8, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6612d76c8190913a584954a2c04c |
completed | May 8, 2026, 10:39 p.m. |
Created at: April 10, 2026, 1:27 a.m.