Triple
T6578896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeongbu High-Speed Railway |
E157240
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object | KTX-I trainsets |
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-I trainsets | Statement: [Gyeongbu High-Speed Railway, usesRollingStock, KTX-I trainsets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTX-I trainsets Context triple: [Gyeongbu High-Speed Railway, usesRollingStock, KTX-I trainsets]
-
A.
KTX
chosen
KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
-
B.
ITX-Saemaeul
ITX-Saemaeul is a class of South Korean intercity express trains operated by Korail, offering faster and more comfortable service than conventional trains on major routes.
-
C.
Korail
Korail is South Korea's national railroad operator, managing the country's major passenger and freight rail services.
-
D.
XPT train
The XPT train is a long-distance, high-speed diesel passenger train used in New South Wales, Australia, based on the British InterCity 125 design.
-
E.
MX3000 train
The MX3000 train is a modern electric multiple unit used as the primary passenger rolling stock on the Oslo Metro system in Norway.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae8dad608190b4708368a7af6e5d |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7127fc0a081909589c2a05e457866 |
completed | March 27, 2026, 11:27 p.m. |
Created at: March 27, 2026, 1:54 p.m.