Triple
T5264774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseon |
E118911
|
entity |
| Predicate | legalCode |
P17080
|
FINISHED |
| Object |
Gyeongguk Daejeon
Gyeongguk Daejeon is the comprehensive legal code that systematized the administrative, civil, and criminal laws of the Joseon Dynasty in Korea.
|
E507357
|
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: Gyeongguk Daejeon | Statement: [Joseon, legalCode, Gyeongguk Daejeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyeongguk Daejeon Context triple: [Joseon, legalCode, Gyeongguk Daejeon]
-
A.
Heungneung
Heungneung is a royal burial site from Korea’s Joseon Dynasty, recognized as part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
-
B.
Seongnam
Seongnam is a major satellite city of Seoul in South Korea, known for its planned urban development and role as a residential and commercial hub.
-
C.
Suwon
Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
-
D.
Gwangmyeong
Gwangmyeong is a city in South Korea known for its proximity to Seoul and attractions like the Gwangmyeong Cave, a former mine turned cultural and tourism complex.
-
E.
Icheon
Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
- 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: Gyeongguk Daejeon Triple: [Joseon, legalCode, Gyeongguk Daejeon]
Generated description
Gyeongguk Daejeon is the comprehensive legal code that systematized the administrative, civil, and criminal laws of the Joseon Dynasty in Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gyeongguk Daejeon Target entity description: Gyeongguk Daejeon is the comprehensive legal code that systematized the administrative, civil, and criminal laws of the Joseon Dynasty in Korea.
-
A.
Heungneung
Heungneung is a royal burial site from Korea’s Joseon Dynasty, recognized as part of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
-
B.
Seongnam
Seongnam is a major satellite city of Seoul in South Korea, known for its planned urban development and role as a residential and commercial hub.
-
C.
Suwon
Suwon is a major South Korean city best known for its UNESCO-listed Hwaseong Fortress and as a key cultural and economic center just south of Seoul.
-
D.
Gwangmyeong
Gwangmyeong is a city in South Korea known for its proximity to Seoul and attractions like the Gwangmyeong Cave, a former mine turned cultural and tourism complex.
-
E.
Icheon
Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd4a9888190a79ef8e64c764f86 |
completed | March 20, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe8b787881909be9c01d1ba52561 |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69beff76290c819099a08cd1d5397004 |
completed | March 21, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befffc0e388190a02624d4f466a2a9 |
completed | March 21, 2026, 8:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.