Triple
T8363611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KTX |
E197067
|
entity |
| Predicate | terminusStation |
P15150
|
FINISHED |
| Object | Gangneung Station |
E580819
|
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: Gangneung Station | Statement: [KTX, terminusStation, Gangneung Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangneung Station Context triple: [KTX, terminusStation, Gangneung Station]
-
A.
Gangneung Station
chosen
Gangneung Station is a major railway station in Gangneung, South Korea, serving as a key access point to the city and nearby coastal attractions.
-
B.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
C.
Pohang Station
Pohang Station is a major railway station in Pohang, South Korea, serving as the eastern endpoint of high-speed KTX services and a key regional transportation hub.
-
D.
Jonggak Station
Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
-
E.
Jinju Station
Jinju Station is a railway station in Jinju, South Korea, serving as a regional transportation hub connecting the city to other parts of the country.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80768b208190a5f6c9e6cb6e7f30 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6ccf66d48190a457e0ea869b278e |
completed | April 2, 2026, 1:19 p.m. |
Created at: March 30, 2026, 6 p.m.