Triple
T19167694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Seoul Metropolitan Subway) |
E469228
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object | Godeok Depot |
—
|
NE NERFINISHED |
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: Godeok Depot | Statement: [Line 5 (Seoul Metropolitan Subway), hasDepot, Godeok Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Godeok Depot Context triple: [Line 5 (Seoul Metropolitan Subway), hasDepot, Godeok Depot]
-
A.
Daejeo Depot
Daejeo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
-
B.
Jangsan Depot
Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
-
C.
Banghwa Depot
chosen
Banghwa Depot is a maintenance and storage facility serving trains on Seoul Subway Line 5 in South Korea.
-
D.
Jicheon Depot
Jicheon Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
E.
Gimpo Goldline Depot
Gimpo Goldline Depot is the main maintenance and storage facility serving the Gimpo Goldline urban rail transit system in Gimpo, South Korea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16132e081908c6b8d576163316e |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.