Triple
T6995897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwangju Songjeong station |
E162212
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Gwangju Songjeong-ri station |
E162212
|
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: Gwangju Songjeong-ri station | Statement: [Gwangju Songjeong station, formerName, Gwangju Songjeong-ri station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwangju Songjeong-ri station Context triple: [Gwangju Songjeong station, formerName, Gwangju Songjeong-ri station]
-
A.
Gwangju Songjeong station
chosen
Gwangju Songjeong station is a major railway hub in Gwangju, South Korea, serving high-speed KTX trains and connecting the city to key destinations nationwide.
-
B.
Gwangju station
Gwangju station is a major railway station in Gwangju, South Korea, serving as a key hub for regional and intercity train services.
-
C.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
D.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
E.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbec259c8190bb4cfbc1ff6fc786 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a30ef6d88190aa4bb0d70d54d263 |
completed | March 28, 2026, 9:44 a.m. |
Created at: March 27, 2026, 2:32 p.m.