Triple
T6578888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeongbu High-Speed Railway |
E157240
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | KTX network |
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 network | Statement: [Gyeongbu High-Speed Railway, isPartOf, KTX network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTX network Context triple: [Gyeongbu High-Speed Railway, isPartOf, KTX network]
-
A.
KTX
chosen
KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
-
B.
Hanwa Line
The Hanwa Line is a major railway line in Japan’s Kansai region operated by JR West, connecting central Osaka with southern Osaka Prefecture and Wakayama.
-
C.
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.
-
D.
Korail
Korail is South Korea's national railroad operator, managing the country's major passenger and freight rail services.
-
E.
Daejeon Metro
Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
- 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_69c70ae438b0819086449c169e5c7e49 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 1:54 p.m.