Triple
T9413077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uiwang |
E226750
|
entity |
| Predicate | hasRailFacility |
P19495
|
FINISHED |
| Object |
Uiwang rail yard
Uiwang rail yard is a major railway freight and logistics hub in Uiwang, South Korea, serving as a key center for cargo handling and rail operations.
|
E797482
|
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: Uiwang rail yard | Statement: [Uiwang, hasRailFacility, Uiwang rail yard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uiwang rail yard Context triple: [Uiwang, hasRailFacility, Uiwang rail yard]
-
A.
Jangsan Depot
Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
-
B.
Daejeo Depot
Daejeo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
-
C.
Jicheon Depot
Jicheon Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
D.
Yonggwang Station
Yonggwang Station is one of the elaborately decorated underground stations of the Pyongyang Metro in North Korea, known for its grand socialist realist murals and chandeliers.
-
E.
Jonu Station
Jonu Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s main urban rail lines.
- 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: Uiwang rail yard Triple: [Uiwang, hasRailFacility, Uiwang rail yard]
Generated description
Uiwang rail yard is a major railway freight and logistics hub in Uiwang, South Korea, serving as a key center for cargo handling and rail operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uiwang rail yard Target entity description: Uiwang rail yard is a major railway freight and logistics hub in Uiwang, South Korea, serving as a key center for cargo handling and rail operations.
-
A.
Jangsan Depot
Jangsan Depot is a maintenance and storage facility serving trains on the Busan Metro system in Busan, South Korea.
-
B.
Daejeo Depot
Daejeo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
-
C.
Jicheon Depot
Jicheon Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
D.
Yonggwang Station
Yonggwang Station is one of the elaborately decorated underground stations of the Pyongyang Metro in North Korea, known for its grand socialist realist murals and chandeliers.
-
E.
Jonu Station
Jonu Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s main urban rail lines.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5258f7e081908d48600409181fdb |
completed | April 1, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107b0f9648190894a4cd13d7e5fb5 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108466fb481909682fcaac354b312 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108be82888190b0ec08119cd00b68 |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:47 p.m.