Triple
T4350240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Key Resolve |
E98005
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object |
Dong Maeng
Dong Maeng is a joint South Korea–United States military exercise that succeeded earlier large-scale drills as part of their combined defense posture.
|
E433304
|
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: Dong Maeng | Statement: [Key Resolve, replacedBy, Dong Maeng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dong Maeng Context triple: [Key Resolve, replacedBy, Dong Maeng]
-
A.
Yong-il
Yong-il is a Korean masculine given name that can be shared by various individuals, including notable figures such as politicians and public officials.
-
B.
Gim Man-il
Gim Man-il is the revised Romanization form of the Korean personal name more commonly known in older systems as Kim Man-il.
-
C.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
D.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
E.
Chang Myon
Chang Myon was a prominent South Korean statesman who served as prime minister and a leading advocate for liberal democracy during the country’s early postwar period.
- 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: Dong Maeng Triple: [Key Resolve, replacedBy, Dong Maeng]
Generated description
Dong Maeng is a joint South Korea–United States military exercise that succeeded earlier large-scale drills as part of their combined defense posture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dong Maeng Target entity description: Dong Maeng is a joint South Korea–United States military exercise that succeeded earlier large-scale drills as part of their combined defense posture.
-
A.
Yong-il
Yong-il is a Korean masculine given name that can be shared by various individuals, including notable figures such as politicians and public officials.
-
B.
Gim Man-il
Gim Man-il is the revised Romanization form of the Korean personal name more commonly known in older systems as Kim Man-il.
-
C.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
D.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
E.
Chang Myon
Chang Myon was a prominent South Korean statesman who served as prime minister and a leading advocate for liberal democracy during the country’s early postwar period.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a840248190b88c8a7be9158d25 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb01fb0819083fbdd194b2a96f8 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dcca1168819081480cf2f32cf23f |
completed | March 14, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dd4fe660819080484016bc4c8ff8 |
completed | March 14, 2026, 10:12 p.m. |
Created at: March 12, 2026, 11:15 p.m.