Triple
T19117330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ui LRT |
E467938
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Ui-dong Station
Ui-dong Station is a subway station in Seoul, South Korea, serving as the northern endpoint of the Ui Light Rail Transit line.
|
E1453322
|
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: Ui-dong Station | Statement: [Ui LRT, terminus, Ui-dong Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ui-dong Station Context triple: [Ui LRT, terminus, Ui-dong Station]
-
A.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
B.
Cheonggu Station
Cheonggu Station is a subway station on Seoul’s extensive metropolitan rail network, serving passengers on Line 6.
-
C.
Gwangmyeong Station
Gwangmyeong Station is a major high-speed rail station in Gwangmyeong, South Korea, serving as an important stop on the KTX network connecting Seoul with other key cities nationwide.
-
D.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
E.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
- 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: Ui-dong Station Triple: [Ui LRT, terminus, Ui-dong Station]
Generated description
Ui-dong Station is a subway station in Seoul, South Korea, serving as the northern endpoint of the Ui Light Rail Transit line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ui-dong Station Target entity description: Ui-dong Station is a subway station in Seoul, South Korea, serving as the northern endpoint of the Ui Light Rail Transit line.
-
A.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
B.
Cheonggu Station
Cheonggu Station is a subway station on Seoul’s extensive metropolitan rail network, serving passengers on Line 6.
-
C.
Gwangmyeong Station
Gwangmyeong Station is a major high-speed rail station in Gwangmyeong, South Korea, serving as an important stop on the KTX network connecting Seoul with other key cities nationwide.
-
D.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
E.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e399a6d8819090a9501ff1637b9d |
completed | April 20, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090ae5beb48190a17cd9ea6c0ca0d0 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bdfa0d481909027f6d7c846a7d6 |
completed | May 17, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090c4534b481908079407989ba51f6 |
completed | May 17, 2026, 12:31 a.m. |
Created at: April 10, 2026, 12:05 p.m.