Triple
T16535394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwon |
E401676
|
entity |
| Predicate | hasAdministrativeDistrict |
P15909
|
FINISHED |
| Object |
Yeongtong-gu
Yeongtong-gu is a district in the city of Suwon, South Korea, known for its residential areas, educational institutions, and commercial centers.
|
E1229961
|
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: Yeongtong-gu | Statement: [Suwon, hasAdministrativeDistrict, Yeongtong-gu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeongtong-gu Context triple: [Suwon, hasAdministrativeDistrict, Yeongtong-gu]
-
A.
Eunpyung-gu
Eunpyung-gu is a northern district of Seoul, South Korea, known for its mix of residential areas, traditional temples, and access to nearby mountains.
-
B.
Geumjeong-gu
Geumjeong-gu is a district in Busan, South Korea, known for its residential areas, transportation hubs, and proximity to Geumjeongsan Mountain.
-
C.
Yeonsu-gu
Yeonsu-gu is an administrative district of Incheon, South Korea, known for its coastal location, modern residential areas, and proximity to the Songdo International Business District.
-
D.
Gwonseon-gu
Gwonseon-gu is a district of Suwon in South Korea, known as one of the city's key residential and commercial areas.
-
E.
Suyeong-gu
Suyeong-gu is a coastal district in the city of Busan, South Korea, known for its urban neighborhoods and proximity to popular beaches.
- 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: Yeongtong-gu Triple: [Suwon, hasAdministrativeDistrict, Yeongtong-gu]
Generated description
Yeongtong-gu is a district in the city of Suwon, South Korea, known for its residential areas, educational institutions, and commercial centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yeongtong-gu Target entity description: Yeongtong-gu is a district in the city of Suwon, South Korea, known for its residential areas, educational institutions, and commercial centers.
-
A.
Eunpyung-gu
Eunpyung-gu is a northern district of Seoul, South Korea, known for its mix of residential areas, traditional temples, and access to nearby mountains.
-
B.
Geumjeong-gu
Geumjeong-gu is a district in Busan, South Korea, known for its residential areas, transportation hubs, and proximity to Geumjeongsan Mountain.
-
C.
Yeonsu-gu
Yeonsu-gu is an administrative district of Incheon, South Korea, known for its coastal location, modern residential areas, and proximity to the Songdo International Business District.
-
D.
Gwonseon-gu
Gwonseon-gu is a district of Suwon in South Korea, known as one of the city's key residential and commercial areas.
-
E.
Suyeong-gu
Suyeong-gu is a coastal district in the city of Busan, South Korea, known for its urban neighborhoods and proximity to popular beaches.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d2bbe9c81909031d79f93faca6a |
completed | May 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a009deba8448190a9f480e6807ea6be |
completed | May 10, 2026, 3:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009e5daf808190ae75d8c3e22aaef2 |
completed | May 10, 2026, 3:03 p.m. |
Created at: April 10, 2026, 5:15 a.m.