Triple
T17153228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Subway Line 9 |
E416274
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object |
Gaehwa station
Gaehwa station is a subway station in Seoul, South Korea, serving as the western terminus of Seoul Subway Line 9 near the city's outskirts.
|
E1258376
|
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: Gaehwa station | Statement: [Seoul Subway Line 9, hasTerminus, Gaehwa station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaehwa station Context triple: [Seoul Subway Line 9, hasTerminus, Gaehwa station]
-
A.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
B.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
C.
Hyehwa Station
Hyehwa Station is a Seoul Metropolitan Subway station serving the lively Daehangno theater and university district in central Seoul.
-
D.
Gyeyang Station
Gyeyang Station is a major transit hub in Incheon, South Korea, serving as an interchange between the Incheon Subway, AREX airport railroad, and local bus routes.
-
E.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
- 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: Gaehwa station Triple: [Seoul Subway Line 9, hasTerminus, Gaehwa station]
Generated description
Gaehwa station is a subway station in Seoul, South Korea, serving as the western terminus of Seoul Subway Line 9 near the city's outskirts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaehwa station Target entity description: Gaehwa station is a subway station in Seoul, South Korea, serving as the western terminus of Seoul Subway Line 9 near the city's outskirts.
-
A.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
B.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
C.
Hyehwa Station
Hyehwa Station is a Seoul Metropolitan Subway station serving the lively Daehangno theater and university district in central Seoul.
-
D.
Gyeyang Station
Gyeyang Station is a major transit hub in Incheon, South Korea, serving as an interchange between the Incheon Subway, AREX airport railroad, and local bus routes.
-
E.
Beomgye Station
Beomgye Station is a subway station in Anyang, South Korea, serving as a local transit hub on the Seoul metropolitan rail network.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f4092c40819096359ff90af16c3e |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170e362048190beb72cd6aab496fb |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a0171c1b5fc81908455cda0df277ea9 |
completed | May 11, 2026, 6:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01724c4e34819099168d7303a31498 |
completed | May 11, 2026, 6:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.