Triple
T19167693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Seoul Metropolitan Subway) |
E469228
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Banghwa Depot
Banghwa Depot is a maintenance and storage facility serving trains on Seoul Subway Line 5 in South Korea.
|
E1363132
|
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: Banghwa Depot | Statement: [Line 5 (Seoul Metropolitan Subway), hasDepot, Banghwa Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banghwa Depot Context triple: [Line 5 (Seoul Metropolitan Subway), hasDepot, Banghwa 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.
Dongnimmun Station
Dongnimmun Station is a Seoul Metropolitan Subway station in central Seoul serving the Jongno District area near historic sites such as Seodaemun Independence Park.
-
D.
Jicheon Depot
Jicheon Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
E.
Samhung Station
Samhung Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
- 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: Banghwa Depot Triple: [Line 5 (Seoul Metropolitan Subway), hasDepot, Banghwa Depot]
Generated description
Banghwa Depot is a maintenance and storage facility serving trains on Seoul Subway Line 5 in South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banghwa Depot Target entity description: Banghwa Depot is a maintenance and storage facility serving trains on Seoul Subway Line 5 in South Korea.
-
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.
Dongnimmun Station
Dongnimmun Station is a Seoul Metropolitan Subway station in central Seoul serving the Jongno District area near historic sites such as Seodaemun Independence Park.
-
D.
Jicheon Depot
Jicheon Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
E.
Samhung Station
Samhung Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16132e081908c6b8d576163316e |
completed | April 20, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8aa388881909972ef33d6f8657d |
completed | May 15, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a06f936e0b08190b614c393174ea885 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fa52fa5081908e688e253c1f8f6d |
completed | May 15, 2026, 10:49 a.m. |
Created at: April 10, 2026, 12:06 p.m.