Triple
T16092310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangjin |
E390386
|
entity |
| Predicate | hangulName |
P17869
|
FINISHED |
| Object |
당진시
당진시는 충청남도 서북부에 위치한 산업·항만 도시로, 현대제철 당진제철소와 당진항 등을 중심으로 한 중공업과 물류 산업이 발달한 기초자치단체이다.
|
E1194836
|
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: 당진시 | Statement: [Dangjin, hangulName, 당진시]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 당진시 Context triple: [Dangjin, hangulName, 당진시]
-
A.
Gijang County
Gijang County is a coastal administrative region in northeastern Busan, South Korea, known for its scenic shoreline, seafood, and growing residential and tourist areas.
-
B.
Sacheon
Sacheon is a coastal city in South Gyeongsang Province, South Korea, known for its fishing industry, maritime transport, and aerospace manufacturing.
-
C.
Gunpo
Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
-
D.
Hwaseong-si
Hwaseong-si is a rapidly growing city in Gyeonggi Province, South Korea, known for its industrial complexes, coastal wetlands, and proximity to Seoul.
-
E.
Jincheon County
Jincheon County is a rural administrative region in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial 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: 당진시 Triple: [Dangjin, hangulName, 당진시]
Generated description
당진시는 충청남도 서북부에 위치한 산업·항만 도시로, 현대제철 당진제철소와 당진항 등을 중심으로 한 중공업과 물류 산업이 발달한 기초자치단체이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 당진시 Target entity description: 당진시는 충청남도 서북부에 위치한 산업·항만 도시로, 현대제철 당진제철소와 당진항 등을 중심으로 한 중공업과 물류 산업이 발달한 기초자치단체이다.
-
A.
Gijang County
Gijang County is a coastal administrative region in northeastern Busan, South Korea, known for its scenic shoreline, seafood, and growing residential and tourist areas.
-
B.
Sacheon
Sacheon is a coastal city in South Gyeongsang Province, South Korea, known for its fishing industry, maritime transport, and aerospace manufacturing.
-
C.
Gunpo
Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
-
D.
Hwaseong-si
Hwaseong-si is a rapidly growing city in Gyeonggi Province, South Korea, known for its industrial complexes, coastal wetlands, and proximity to Seoul.
-
E.
Jincheon County
Jincheon County is a rural administrative region in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858d1264819099434d7201614d05 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9550f0819092660f6c4b0d708e |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffed526eac8190968a19738ab019e7 |
completed | May 10, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffedda25fc8190b9eef3e7752f95f5 |
completed | May 10, 2026, 2:30 a.m. |
Created at: April 10, 2026, 4:59 a.m.