Triple
T1322530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daejeon |
E28250
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Gapcheon
Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
|
E152147
|
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: Gapcheon | Statement: [Daejeon, hasRiver, Gapcheon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gapcheon Context triple: [Daejeon, hasRiver, Gapcheon]
-
A.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
-
B.
Pyeongtaek
Pyeongtaek is a South Korean city in Gyeonggi Province known for its major U.S. and UN military presence, including large bases such as Camp Humphreys.
-
C.
Yeongdo District
Yeongdo District is a coastal district of Busan, South Korea, known for its island setting, shipbuilding industry, and scenic views of the city and harbor.
-
D.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
E.
Incheon Gwangyeoksi
Incheon Gwangyeoksi is a major metropolitan city in northwestern South Korea, known for its international airport, large seaport, and role as a key gateway to Seoul and the wider region.
- 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: Gapcheon Triple: [Daejeon, hasRiver, Gapcheon]
Generated description
Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gapcheon Target entity description: Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
-
A.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
-
B.
Pyeongtaek
Pyeongtaek is a South Korean city in Gyeonggi Province known for its major U.S. and UN military presence, including large bases such as Camp Humphreys.
-
C.
Yeongdo District
Yeongdo District is a coastal district of Busan, South Korea, known for its island setting, shipbuilding industry, and scenic views of the city and harbor.
-
D.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
E.
Incheon Gwangyeoksi
Incheon Gwangyeoksi is a major metropolitan city in northwestern South Korea, known for its international airport, large seaport, and role as a key gateway to Seoul and the wider region.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19b76b48190aa8857b80971a842 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf2e13dc8190902879be5fa69adb |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf94e6e881908d15b2ef99f17668 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc0b212608190bbb2310402d86ed9 |
completed | March 8, 2026, 12:20 a.m. |
Created at: March 1, 2026, 7:55 p.m.