Triple
T5036374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gojoseon |
E113433
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
Buyeo
Buyeo was an ancient Korean kingdom that emerged in northern Manchuria and northern Korea, playing a key role in the early formation of Korean states and culture.
|
E488614
|
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: Buyeo | Statement: [Gojoseon, successor, Buyeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buyeo Context triple: [Gojoseon, successor, Buyeo]
-
A.
Meiktila
Meiktila is a city in central Myanmar that served as a key strategic location during World War II, particularly in the Burma Campaign.
-
B.
Seogwipo
Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
-
C.
Gyeongju
Gyeongju is a historic city in South Korea famed for its rich cultural heritage and numerous archaeological sites from the ancient Silla Kingdom.
-
D.
Gimhae
Gimhae is a city in South Gyeongsang Province, South Korea, known for its historical significance as the birthplace of the ancient Gaya confederacy and its proximity to the metropolitan city of Busan.
-
E.
Buk-gu
Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
- 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: Buyeo Triple: [Gojoseon, successor, Buyeo]
Generated description
Buyeo was an ancient Korean kingdom that emerged in northern Manchuria and northern Korea, playing a key role in the early formation of Korean states and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buyeo Target entity description: Buyeo was an ancient Korean kingdom that emerged in northern Manchuria and northern Korea, playing a key role in the early formation of Korean states and culture.
-
A.
Meiktila
Meiktila is a city in central Myanmar that served as a key strategic location during World War II, particularly in the Burma Campaign.
-
B.
Seogwipo
Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
-
C.
Gyeongju
Gyeongju is a historic city in South Korea famed for its rich cultural heritage and numerous archaeological sites from the ancient Silla Kingdom.
-
D.
Gimhae
Gimhae is a city in South Gyeongsang Province, South Korea, known for its historical significance as the birthplace of the ancient Gaya confederacy and its proximity to the metropolitan city of Busan.
-
E.
Buk-gu
Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c79265081908512b39cc74161f8 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9d517df88190bcd682badaca96c8 |
completed | March 21, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9dea9de48190805b1e3527b47a00 |
completed | March 21, 2026, 1:32 p.m. |
Created at: March 20, 2026, 1:37 p.m.