Triple
T19167653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Seoul Metropolitan Subway) |
E469227
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Sinsa station
Sinsa station is a subway station in Seoul, South Korea, serving the affluent Sinsa-dong area known for its shopping and dining.
|
E1517385
|
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: Sinsa station | Statement: [Line 3 (Seoul Metropolitan Subway), hasStation, Sinsa station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinsa station Context triple: [Line 3 (Seoul Metropolitan Subway), hasStation, Sinsa station]
-
A.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
B.
Sadang Station
Sadang Station is a major Seoul Metropolitan Subway transfer station in southern Seoul, serving as an important transit hub for commuters in and around Gwanak-gu.
-
C.
Asan Station
Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
-
D.
Yeouinaru Station
Yeouinaru Station is a subway station on Seoul Subway Line 5 located in the Yeouido district of Seoul, South Korea, serving the Han River riverside area and nearby business complexes.
-
E.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
- 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: Sinsa station Triple: [Line 3 (Seoul Metropolitan Subway), hasStation, Sinsa station]
Generated description
Sinsa station is a subway station in Seoul, South Korea, serving the affluent Sinsa-dong area known for its shopping and dining.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sinsa station Target entity description: Sinsa station is a subway station in Seoul, South Korea, serving the affluent Sinsa-dong area known for its shopping and dining.
-
A.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
B.
Sadang Station
Sadang Station is a major Seoul Metropolitan Subway transfer station in southern Seoul, serving as an important transit hub for commuters in and around Gwanak-gu.
-
C.
Asan Station
Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
-
D.
Yeouinaru Station
Yeouinaru Station is a subway station on Seoul Subway Line 5 located in the Yeouido district of Seoul, South Korea, serving the Han River riverside area and nearby business complexes.
-
E.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16132e081908c6b8d576163316e |
completed | April 20, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a809237e8819087db6ea62a246547 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a82ed42c88190a69d043312b624b9 |
completed | May 18, 2026, 3:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a8342579881908cfc41f5330c8abd |
completed | May 18, 2026, 3:10 a.m. |
Created at: April 10, 2026, 12:06 p.m.