Triple
T12158295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangseo-gu |
E289635
|
entity |
| Predicate | hasNotableArea |
P494
|
FINISHED |
| Object |
Gayang-dong
Gayang-dong is a neighborhood in Gangseo District of Seoul, South Korea, known for its residential complexes and proximity to the Han River.
|
E967036
|
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: Gayang-dong | Statement: [Kangseo-gu, hasNotableArea, Gayang-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gayang-dong Context triple: [Kangseo-gu, hasNotableArea, Gayang-dong]
-
A.
Anseongcheon
Anseongcheon is a river in South Korea that flows through the city of Pyeongtaek in Gyeonggi Province.
-
B.
Hwanggujicheon
Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
-
C.
Oncheoncheon Stream
Oncheoncheon Stream is an urban waterway in Busan, South Korea, known for its riverside parks, walking paths, and proximity to historic sites such as Geumjeong Fortress.
-
D.
Anyangcheon
Anyangcheon is a river in South Korea that flows through the city of Anyang and serves as an important local waterway and recreational area.
-
E.
Daegokcheon stream
Daegokcheon stream is a watercourse in Ulsan, South Korea, known for flowing past the Bangudae Petroglyphs, a major prehistoric rock art site.
- 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: Gayang-dong Triple: [Kangseo-gu, hasNotableArea, Gayang-dong]
Generated description
Gayang-dong is a neighborhood in Gangseo District of Seoul, South Korea, known for its residential complexes and proximity to the Han River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gayang-dong Target entity description: Gayang-dong is a neighborhood in Gangseo District of Seoul, South Korea, known for its residential complexes and proximity to the Han River.
-
A.
Anseongcheon
Anseongcheon is a river in South Korea that flows through the city of Pyeongtaek in Gyeonggi Province.
-
B.
Hwanggujicheon
Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
-
C.
Oncheoncheon Stream
Oncheoncheon Stream is an urban waterway in Busan, South Korea, known for its riverside parks, walking paths, and proximity to historic sites such as Geumjeong Fortress.
-
D.
Anyangcheon
Anyangcheon is a river in South Korea that flows through the city of Anyang and serves as an important local waterway and recreational area.
-
E.
Daegokcheon stream
Daegokcheon stream is a watercourse in Ulsan, South Korea, known for flowing past the Bangudae Petroglyphs, a major prehistoric rock art site.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69e8498819080d571e6fb4edfde |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f601e0777081909e1212436680a10d |
completed | May 2, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f602a21f948190849839301f49d55a |
completed | May 2, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:50 p.m.