Triple
T19289435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeoksam-dong |
E482400
|
entity |
| Predicate | hasTransportation |
P105
|
FINISHED |
| Object |
Yeoksam Station
Yeoksam Station is a major Seoul Metropolitan Subway station in the Gangnam business district, serving as a key transit hub for commuters and office workers.
|
E1509600
|
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: Yeoksam Station | Statement: [Yeoksam-dong, hasTransportation, Yeoksam Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeoksam Station Context triple: [Yeoksam-dong, hasTransportation, Yeoksam Station]
-
A.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
-
B.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
C.
Sangnoksu Station
Sangnoksu Station is a subway station in Ansan, South Korea, serving as part of the Seoul Metropolitan Subway network.
-
D.
Yangjae Station
Yangjae Station is a major subway station in southern Seoul, South Korea, serving as an important transit hub on multiple lines within the city’s metro network.
-
E.
Sangmu Station
Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
- 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: Yeoksam Station Triple: [Yeoksam-dong, hasTransportation, Yeoksam Station]
Generated description
Yeoksam Station is a major Seoul Metropolitan Subway station in the Gangnam business district, serving as a key transit hub for commuters and office workers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yeoksam Station Target entity description: Yeoksam Station is a major Seoul Metropolitan Subway station in the Gangnam business district, serving as a key transit hub for commuters and office workers.
-
A.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
-
B.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
C.
Sangnoksu Station
Sangnoksu Station is a subway station in Ansan, South Korea, serving as part of the Seoul Metropolitan Subway network.
-
D.
Yangjae Station
Yangjae Station is a major subway station in southern Seoul, South Korea, serving as an important transit hub on multiple lines within the city’s metro network.
-
E.
Sangmu Station
Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60c90c3081909f40801105c3da53 |
completed | May 18, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_6a0a62148bcc8190821fce96fbe6fd69 |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a627395d081909c2fd9e49284a236 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 10, 2026, 1:30 p.m.