Triple
T21044497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yi Seong-gye |
E518413
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Hamheung
Hamheung is a major city in northeastern North Korea, historically significant as a regional center in Hamgyong Province and associated with early Joseon dynasty history.
|
E1497517
|
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: Hamheung | Statement: [Yi Seong-gye, birthPlace, Hamheung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamheung Context triple: [Yi Seong-gye, birthPlace, Hamheung]
-
A.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
B.
Hadong-gun
Hadong-gun is a rural county in South Gyeongsang Province, South Korea, known for its scenic Seomjin River landscapes, green tea fields, and traditional cultural heritage.
-
C.
Sungneung
Sungneung is a royal Joseon Dynasty tomb located within the Donggureung burial complex in South Korea.
-
D.
Mungyeong
Mungyeong is a city in South Korea known for its historic mountain passes, scenic hiking trails, and traditional cultural heritage.
-
E.
Dongmyeong
Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
- 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: Hamheung Triple: [Yi Seong-gye, birthPlace, Hamheung]
Generated description
Hamheung is a major city in northeastern North Korea, historically significant as a regional center in Hamgyong Province and associated with early Joseon dynasty history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamheung Target entity description: Hamheung is a major city in northeastern North Korea, historically significant as a regional center in Hamgyong Province and associated with early Joseon dynasty history.
-
A.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
B.
Hadong-gun
Hadong-gun is a rural county in South Gyeongsang Province, South Korea, known for its scenic Seomjin River landscapes, green tea fields, and traditional cultural heritage.
-
C.
Sungneung
Sungneung is a royal Joseon Dynasty tomb located within the Donggureung burial complex in South Korea.
-
D.
Mungyeong
Mungyeong is a city in South Korea known for its historic mountain passes, scenic hiking trails, and traditional cultural heritage.
-
E.
Dongmyeong
Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf2fc4881909b9e3400864e6b82 |
completed | April 21, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24970ea881908e0d585753357b24 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a259145c0819082edd73cf9a8574b |
completed | May 17, 2026, 8:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a25f766048190931de694fdc23931 |
completed | May 17, 2026, 8:32 p.m. |
Created at: April 16, 2026, 2:24 p.m.