Triple
T19117421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U Line |
E467940
|
entity |
| Predicate | connectsAtStation |
P21403
|
FINISHED |
| Object |
Nogyang station
Nogyang station is a railway station in Uijeongbu, South Korea, serving passengers on the U Line light rail transit system.
|
E1460274
|
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: Nogyang station | Statement: [U Line, connectsAtStation, Nogyang station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nogyang station Context triple: [U Line, connectsAtStation, Nogyang station]
-
A.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
-
B.
Miryang Station
Miryang Station is a major railway station in Miryang, South Korea, serving as an important junction on the country’s rail network.
-
C.
Unyeon station
Unyeon station is a subway station in Incheon, South Korea, serving as one end of the Incheon Subway Line 2.
-
D.
Gongdeok Station
Gongdeok Station is a major subway and airport railroad interchange station in Seoul, South Korea, connecting multiple metro lines with the AREX line to Incheon International Airport.
-
E.
Bongcheon Station
Bongcheon Station is a subway station on Seoul Subway Line 2 serving the Bongcheon-dong area in Seoul, South Korea.
- 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: Nogyang station Triple: [U Line, connectsAtStation, Nogyang station]
Generated description
Nogyang station is a railway station in Uijeongbu, South Korea, serving passengers on the U Line light rail transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nogyang station Target entity description: Nogyang station is a railway station in Uijeongbu, South Korea, serving passengers on the U Line light rail transit system.
-
A.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
-
B.
Miryang Station
Miryang Station is a major railway station in Miryang, South Korea, serving as an important junction on the country’s rail network.
-
C.
Unyeon station
Unyeon station is a subway station in Incheon, South Korea, serving as one end of the Incheon Subway Line 2.
-
D.
Gongdeok Station
Gongdeok Station is a major subway and airport railroad interchange station in Seoul, South Korea, connecting multiple metro lines with the AREX line to Incheon International Airport.
-
E.
Bongcheon Station
Bongcheon Station is a subway station on Seoul Subway Line 2 serving the Bongcheon-dong area in Seoul, South Korea.
- 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_6a092f9b9cfc819083537d00a635b8e5 |
completed | May 17, 2026, 3:01 a.m. |
| NEDg | Description generation | batch_6a0930e11bd08190802e33af979ed5b4 |
completed | May 17, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09316371e08190af8cb6c05b21f433 |
completed | May 17, 2026, 3:09 a.m. |
Created at: April 10, 2026, 12:05 p.m.