Triple
T18631291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Jeolla Province |
E455422
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Jeongeup
Jeongeup is a city in South Korea known for its location in North Jeolla Province and its cultural and historical heritage.
|
E1338741
|
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: Jeongeup | Statement: [North Jeolla Province, hasCity, Jeongeup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeongeup Context triple: [North Jeolla Province, hasCity, Jeongeup]
-
A.
Yeoju
Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
-
B.
Wonju
Wonju is a city in South Korea’s Gangwon Province known historically as a strategic military site and today as a regional commercial and transportation hub.
-
C.
Icheon
Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
-
D.
Suncheon
Suncheon is a city in South Jeolla Province, South Korea, known for its ecological attractions such as the Suncheon Bay Wetland Reserve and its role as a regional administrative and cultural center.
-
E.
Sangju
Sangju is a city in southeastern South Korea known historically for agriculture, particularly rice and dried persimmons, and for its role as a regional transport hub.
- 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: Jeongeup Triple: [North Jeolla Province, hasCity, Jeongeup]
Generated description
Jeongeup is a city in South Korea known for its location in North Jeolla Province and its cultural and historical heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeongeup Target entity description: Jeongeup is a city in South Korea known for its location in North Jeolla Province and its cultural and historical heritage.
-
A.
Yeoju
Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
-
B.
Wonju
Wonju is a city in South Korea’s Gangwon Province known historically as a strategic military site and today as a regional commercial and transportation hub.
-
C.
Icheon
Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
-
D.
Suncheon
Suncheon is a city in South Jeolla Province, South Korea, known for its ecological attractions such as the Suncheon Bay Wetland Reserve and its role as a regional administrative and cultural center.
-
E.
Sangju
Sangju is a city in southeastern South Korea known historically for agriculture, particularly rice and dried persimmons, and for its role as a regional transport hub.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc4c5648190b771e9b080e98c15 |
completed | April 19, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b25ffc08190ad347712a6641819 |
completed | May 14, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_6a052c6373088190a81e53963dac9c6f |
completed | May 14, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052d6f1f8081908810e99dff28b586 |
completed | May 14, 2026, 2:03 a.m. |
Created at: April 10, 2026, 11:46 a.m.