Triple
T7206935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incheon Subway |
E148687
|
entity |
| Predicate | hasConnectionStation |
P21403
|
FINISHED |
| Object | Gyeyang station |
E634034
|
NE FINISHED |
How this triple was built (2 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: Gyeyang station | Statement: [Incheon Subway, hasConnectionStation, Gyeyang station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyeyang station Context triple: [Incheon Subway, hasConnectionStation, Gyeyang station]
-
A.
Gyeyang Station
chosen
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.
-
B.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
C.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
D.
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.
-
E.
Miryang Station
Miryang Station is a major railway station in Miryang, South Korea, serving as an important junction on the country’s rail network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6f04089408190aa20ed6767590ae1 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802a38b608190bb87dd9af4fd3ef5 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 2:52 p.m.