Triple
T14241501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwanak-gu |
E353016
|
entity |
| Predicate | hasSubwayStation |
P726
|
FINISHED |
| Object |
Bongcheon Station
Bongcheon Station is a subway station on Seoul Subway Line 2 serving the Bongcheon-dong area in Seoul, South Korea.
|
E1093626
|
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: Bongcheon Station | Statement: [Gwanak-gu, hasSubwayStation, Bongcheon Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongcheon Station Context triple: [Gwanak-gu, hasSubwayStation, Bongcheon 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.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
C.
Dongsu Station
Dongsu Station is a major subway station in Incheon, South Korea, serving as an important transit hub within the city's metro network.
-
D.
Bujeon Station
Bujeon Station is a railway station in Busan, South Korea, serving as a local transportation hub with connections to regional and urban rail services.
-
E.
Bupyeong station
Bupyeong station is a major transit hub in Incheon, South Korea, serving both the Incheon Subway and Seoul Metropolitan Subway Line 1 and connecting to nearby commercial and residential areas.
- 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: Bongcheon Station Triple: [Gwanak-gu, hasSubwayStation, Bongcheon Station]
Generated description
Bongcheon Station is a subway station on Seoul Subway Line 2 serving the Bongcheon-dong area in Seoul, South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bongcheon Station Target entity description: Bongcheon Station is a subway station on Seoul Subway Line 2 serving the Bongcheon-dong area in Seoul, South Korea.
-
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.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
C.
Dongsu Station
Dongsu Station is a major subway station in Incheon, South Korea, serving as an important transit hub within the city's metro network.
-
D.
Bujeon Station
Bujeon Station is a railway station in Busan, South Korea, serving as a local transportation hub with connections to regional and urban rail services.
-
E.
Bupyeong station
Bupyeong station is a major transit hub in Incheon, South Korea, serving both the Incheon Subway and Seoul Metropolitan Subway Line 1 and connecting to nearby commercial and residential areas.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6244ad188190b9d9db7914240410 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46794e9c819093312a2c304e554e |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd4821304c8190acc84c72d9295b11 |
completed | May 8, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd48d827488190b4a494d4da64ba51 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 10, 2026, 1:08 a.m.