Triple
T19540609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Subway Line 3 |
E488887
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Suseo Depot
Suseo Depot is a maintenance and storage facility serving trains operating on Seoul Subway Line 3 in South Korea.
|
E1383961
|
NE FINISHED |
How this triple was built (4 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: Suseo Depot | Statement: [Seoul Subway Line 3, hasDepot, Suseo Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suseo Depot Context triple: [Seoul Subway Line 3, hasDepot, Suseo Depot]
-
A.
Shojaku Depot
Shojaku Depot is a railway maintenance and storage facility on the Hankyu Railway network in Japan, serving as a base for trains such as the Hankyu 3300 series.
-
B.
Shimura Depot
Shimura Depot is a train maintenance and storage facility serving Tokyo's Toei Mita Line.
-
C.
Fukagawa Depot
Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
-
D.
Motosumiyoshi Depot
Motosumiyoshi Depot is a railway maintenance and storage facility serving trains on Tokyu Corporation’s Meguro Line in Japan.
-
E.
Jichuk Depot
Jichuk Depot is a maintenance and storage facility serving trains on Seoul Subway Line 3 in South Korea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Suseo Depot Triple: [Seoul Subway Line 3, hasDepot, Suseo Depot]
Generated description
Suseo Depot is a maintenance and storage facility serving trains operating on Seoul Subway Line 3 in South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suseo Depot Target entity description: Suseo Depot is a maintenance and storage facility serving trains operating on Seoul Subway Line 3 in South Korea.
-
A.
Shojaku Depot
Shojaku Depot is a railway maintenance and storage facility on the Hankyu Railway network in Japan, serving as a base for trains such as the Hankyu 3300 series.
-
B.
Shimura Depot
Shimura Depot is a train maintenance and storage facility serving Tokyo's Toei Mita Line.
-
C.
Fukagawa Depot
Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
-
D.
Motosumiyoshi Depot
Motosumiyoshi Depot is a railway maintenance and storage facility serving trains on Tokyu Corporation’s Meguro Line in Japan.
-
E.
Jichuk Depot
Jichuk Depot is a maintenance and storage facility serving trains on Seoul Subway Line 3 in South Korea.
- F. None of above. chosen
Provenance (5 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63872fda48190bbb1f465cb7b57fe |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07577880048190bb182c9fe3856254 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07583fc26481908bd2f00c19f3b4cd |
completed | May 15, 2026, 5:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07594a23ac81908807df4605555d3f |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 1:41 p.m.