Triple
T10093743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asan |
E215809
|
entity |
| Predicate | railwayConnection |
P848
|
FINISHED |
| Object | KTX high-speed rail |
E197067
|
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: KTX high-speed rail | Statement: [Asan, railwayConnection, KTX high-speed rail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTX high-speed rail Context triple: [Asan, railwayConnection, KTX high-speed rail]
-
A.
Gyeongbu High-Speed Railway
The Gyeongbu High-Speed Railway is South Korea’s primary high-speed rail corridor, linking Seoul and Busan and serving as a backbone of national passenger transport.
-
B.
KTX
chosen
KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
-
C.
Honam High-Speed Railway
The Honam High-Speed Railway is a major South Korean high-speed rail corridor connecting the Seoul area to the Honam region, significantly reducing travel times and supporting KTX bullet train services.
-
D.
KTX-Eum
KTX-Eum is a South Korean high-speed electric multiple unit train operated by Korail, designed for intercity services on the country’s high-speed rail network.
-
E.
Incheon Airport Maglev
Incheon Airport Maglev is a driverless urban magnetic-levitation train line in Incheon, South Korea, providing short-distance passenger transport around Incheon International Airport.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05da3688190b7a1ac8a58e5488f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6aecc488190a9af098f687327ed |
completed | April 5, 2026, 7:23 p.m. |
Created at: March 30, 2026, 9:01 p.m.