Triple
T14886559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jongno District |
E350135
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wonseo-dong
Wonseo-dong is a neighborhood in central Seoul, South Korea, known for its traditional streets and proximity to historic palaces and cultural sites.
|
E1198379
|
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: Wonseo-dong | Statement: [Jongno District, contains, Wonseo-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wonseo-dong Context triple: [Jongno District, contains, Wonseo-dong]
-
A.
Seongho-dong
Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
B.
Yongho-dong
Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
-
C.
Beomjeon-dong
Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
-
D.
Beomil-dong
Beomil-dong is a neighborhood in Dong-gu, Busan, South Korea, known as a residential and commercial area within the city.
-
E.
Seongbuk-dong
Seongbuk-dong is a residential neighborhood in northern Seoul, South Korea, known for its traditional Korean houses, cultural sites, and relatively quiet, upscale atmosphere.
- 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: Wonseo-dong Triple: [Jongno District, contains, Wonseo-dong]
Generated description
Wonseo-dong is a neighborhood in central Seoul, South Korea, known for its traditional streets and proximity to historic palaces and cultural sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wonseo-dong Target entity description: Wonseo-dong is a neighborhood in central Seoul, South Korea, known for its traditional streets and proximity to historic palaces and cultural sites.
-
A.
Seongho-dong
Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
B.
Yongho-dong
Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
-
C.
Beomjeon-dong
Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
-
D.
Beomil-dong
Beomil-dong is a neighborhood in Dong-gu, Busan, South Korea, known as a residential and commercial area within the city.
-
E.
Seongbuk-dong
Seongbuk-dong is a residential neighborhood in northern Seoul, South Korea, known for its traditional Korean houses, cultural sites, and relatively quiet, upscale atmosphere.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5f5b1c88190815f3585770cb135 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff78dab488190a89b9eb4f648b36c |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fffb6d9f90819095c5d1a70b5c90a3 |
completed | May 10, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fffbc0376c8190a9cae5dc3d941471 |
completed | May 10, 2026, 3:30 a.m. |
Created at: April 10, 2026, 1:56 a.m.