Triple
T20051552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seongdong District |
E499210
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object |
Majang-dong
Majang-dong is a neighborhood in Seoul, South Korea, known for its large traditional livestock and meat market.
|
E1509609
|
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: Majang-dong | Statement: [Seongdong District, containsNeighborhood, Majang-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majang-dong Context triple: [Seongdong District, containsNeighborhood, Majang-dong]
-
A.
Oksu-dong
Oksu-dong is a residential neighborhood in central Seoul, South Korea, known for its riverside location along the Han River and convenient access to major transportation routes.
-
B.
Nonhyeon-dong
Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
-
C.
Hwagok-dong
Hwagok-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Gangseo-gu.
-
D.
Bumgye-dong
Bumgye-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
-
E.
Yongho-dong
Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
- 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: Majang-dong Triple: [Seongdong District, containsNeighborhood, Majang-dong]
Generated description
Majang-dong is a neighborhood in Seoul, South Korea, known for its large traditional livestock and meat market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Majang-dong Target entity description: Majang-dong is a neighborhood in Seoul, South Korea, known for its large traditional livestock and meat market.
-
A.
Oksu-dong
Oksu-dong is a residential neighborhood in central Seoul, South Korea, known for its riverside location along the Han River and convenient access to major transportation routes.
-
B.
Nonhyeon-dong
Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
-
C.
Hwagok-dong
Hwagok-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Gangseo-gu.
-
D.
Bumgye-dong
Bumgye-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
-
E.
Yongho-dong
Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632ee4d48190b9de3a1efa064492 |
completed | April 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60c90c3081909f40801105c3da53 |
completed | May 18, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_6a0a62148bcc8190821fce96fbe6fd69 |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a627395d081909c2fd9e49284a236 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 11, 2026, 3:38 p.m.