Triple
T6311805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government-General of Korea |
E141520
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Keijō
Keijō was the Japanese colonial name for Seoul, which served as the administrative center of Japanese-ruled Korea.
|
E584189
|
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: Keijō | Statement: [Government-General of Korea, capital, Keijō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keijō Context triple: [Government-General of Korea, capital, Keijō]
-
A.
Nara
Nara is an ancient Japanese city renowned for its early role as a national capital, its historic temples, and its culturally significant deer-filled parks.
-
B.
Nara
Nara is a Nilo-Saharan language spoken by the Nara people, an ethnic minority primarily living in western Eritrea.
-
C.
Pyongyang
Pyongyang is the capital and largest city of North Korea, serving as its political, economic, and cultural center.
-
D.
Jinju-si
Jinju-si is a city in South Gyeongsang Province, South Korea, known for its historic Jinju Fortress and the annual Namgang Yudeung (Lantern) Festival.
-
E.
Jinju, South Korea
Jinju, South Korea is a historic city in South Gyeongsang Province known for its riverside fortress, role in the Imjin War, and annual lantern festival.
- 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: Keijō Triple: [Government-General of Korea, capital, Keijō]
Generated description
Keijō was the Japanese colonial name for Seoul, which served as the administrative center of Japanese-ruled Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keijō Target entity description: Keijō was the Japanese colonial name for Seoul, which served as the administrative center of Japanese-ruled Korea.
-
A.
Nara
Nara is an ancient Japanese city renowned for its early role as a national capital, its historic temples, and its culturally significant deer-filled parks.
-
B.
Nara
Nara is a Nilo-Saharan language spoken by the Nara people, an ethnic minority primarily living in western Eritrea.
-
C.
Pyongyang
Pyongyang is the capital and largest city of North Korea, serving as its political, economic, and cultural center.
-
D.
Jinju-si
Jinju-si is a city in South Gyeongsang Province, South Korea, known for its historic Jinju Fortress and the annual Namgang Yudeung (Lantern) Festival.
-
E.
Jinju, South Korea
Jinju, South Korea is a historic city in South Gyeongsang Province known for its riverside fortress, role in the Imjin War, and annual lantern festival.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0649d1e048190a3fc7fbce9d2ee57 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e461e2ec8190af7198a03edb1ff7 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5e66e8b3c8190bd4cd960b91de473 |
completed | March 27, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e6e40c588190898ad952b71e5b11 |
completed | March 27, 2026, 2:09 a.m. |
Created at: March 22, 2026, 4:28 p.m.