Triple
T19167638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Seoul Metropolitan Subway) |
E469227
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Jichuk station
Jichuk station is a subway station on Seoul Subway Line 3 serving the northwestern outskirts of Seoul near the city of Goyang.
|
E1515900
|
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: Jichuk station | Statement: [Line 3 (Seoul Metropolitan Subway), hasStation, Jichuk station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jichuk station Context triple: [Line 3 (Seoul Metropolitan Subway), hasStation, Jichuk station]
-
A.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
B.
Asan Station
Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
-
C.
Zoshiki Station
Zoshiki Station is a railway station in the Ōta ward of Tokyo, Japan, serving local commuter traffic on the Keikyū Main Line.
-
D.
Hannō Station
Hannō Station is a railway station in Hannō, Saitama Prefecture, Japan, serving as a local transit hub on the Seibu Ikebukuro Line.
-
E.
Kinshichō Station
Kinshichō Station is a major railway and subway station in Tokyo, Japan, serving as a key commercial and transit hub in the Sumida ward.
- 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: Jichuk station Triple: [Line 3 (Seoul Metropolitan Subway), hasStation, Jichuk station]
Generated description
Jichuk station is a subway station on Seoul Subway Line 3 serving the northwestern outskirts of Seoul near the city of Goyang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jichuk station Target entity description: Jichuk station is a subway station on Seoul Subway Line 3 serving the northwestern outskirts of Seoul near the city of Goyang.
-
A.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
B.
Asan Station
Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
-
C.
Zoshiki Station
Zoshiki Station is a railway station in the Ōta ward of Tokyo, Japan, serving local commuter traffic on the Keikyū Main Line.
-
D.
Hannō Station
Hannō Station is a railway station in Hannō, Saitama Prefecture, Japan, serving as a local transit hub on the Seibu Ikebukuro Line.
-
E.
Kinshichō Station
Kinshichō Station is a major railway and subway station in Tokyo, Japan, serving as a key commercial and transit hub in the Sumida ward.
- 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_6a0a7b52a8208190973e38f7d4b0f684 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c6453908190a745827da3bc3037 |
completed | May 18, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7ce3c684819090b25ca1e7596722 |
completed | May 18, 2026, 2:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.