Triple
T20020443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Subway Line 6 |
E494841
|
entity |
| Predicate | hasRollingStock |
P1305
|
FINISHED |
| Object | Seoul Metro 6000 series trains |
—
|
NE NERFINISHED |
How this triple was built (3 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: Seoul Metro 6000 series trains | Statement: [Seoul Subway Line 6, hasRollingStock, Seoul Metro 6000 series trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seoul Metro 6000 series trains Context triple: [Seoul Subway Line 6, hasRollingStock, Seoul Metro 6000 series trains]
-
A.
Seoul Metro 5000 series trains
The Seoul Metro 5000 series trains are electric multiple units operating on Seoul Subway Line 5, designed for high-capacity urban commuter service with modern safety and passenger comfort features.
-
B.
Seoul Metro 8000 series trains
The Seoul Metro 8000 series trains are electric multiple units used on Seoul’s subway system, particularly known for serving Line 8 with modern, high-capacity urban rail service.
-
C.
Seoul Metro 4000 series trains
The Seoul Metro 4000 series trains are electric multiple units operating on Seoul Subway Line 4, known for serving as a primary fleet for this north–south rapid transit corridor in the Seoul metropolitan area.
-
D.
Seoul Metro 3000 series trains
The Seoul Metro 3000 series trains are electric multiple units specifically built to operate on Seoul Subway Line 3, providing high-capacity urban rail service across the Seoul metropolitan area.
-
E.
Korail Class 341000 trains
Korail Class 341000 trains are electric multiple units operated by Korail on Seoul’s metropolitan rail network, designed for high-capacity urban commuter service.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seoul Metro 6000 series trains Target entity description: The Seoul Metro 6000 series trains are electric multiple units specifically built for and operated on Seoul Subway Line 6, featuring modern urban transit design suited to the line’s medium-capacity, frequent-stop service.
-
A.
Seoul Metro 5000 series trains
The Seoul Metro 5000 series trains are electric multiple units operating on Seoul Subway Line 5, designed for high-capacity urban commuter service with modern safety and passenger comfort features.
-
B.
Seoul Metro 8000 series trains
The Seoul Metro 8000 series trains are electric multiple units used on Seoul’s subway system, particularly known for serving Line 8 with modern, high-capacity urban rail service.
-
C.
Seoul Metro 4000 series trains
The Seoul Metro 4000 series trains are electric multiple units operating on Seoul Subway Line 4, known for serving as a primary fleet for this north–south rapid transit corridor in the Seoul metropolitan area.
-
D.
Seoul Metro 3000 series trains
The Seoul Metro 3000 series trains are electric multiple units specifically built to operate on Seoul Subway Line 3, providing high-capacity urban rail service across the Seoul metropolitan area.
-
E.
Korail Class 341000 trains
Korail Class 341000 trains are electric multiple units operated by Korail on Seoul’s metropolitan rail network, designed for high-capacity urban commuter service.
- F. None of above. chosen
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623f1598819097ad4fa392540901 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.