Triple
T1862111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongnae District |
E34836
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object |
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
|
E229155
|
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: Sajik Station | Statement: [Dongnae District, hasMetroStation, Sajik Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sajik Station Context triple: [Dongnae District, hasMetroStation, Sajik Station]
-
A.
Sasang Station
Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
-
B.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
C.
Nampo Station
Nampo Station is a major subway station and commercial hub in central Busan, South Korea, known for its proximity to popular shopping streets and tourist attractions.
-
D.
Beomeosa Station
Beomeosa Station is a subway station in Busan, South Korea, serving as a key access point to the nearby Beomeosa Temple and surrounding Geumjeong District area.
-
E.
Oncheonjang Station
Oncheonjang Station is a subway station in Busan, South Korea, serving the Oncheonjang area in Dongnae District and providing access to its hot spring and commercial zones.
- 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: Sajik Station Triple: [Dongnae District, hasMetroStation, Sajik Station]
Generated description
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sajik Station Target entity description: Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
A.
Sasang Station
Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
-
B.
Myeongnyun Station
Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
C.
Nampo Station
Nampo Station is a major subway station and commercial hub in central Busan, South Korea, known for its proximity to popular shopping streets and tourist attractions.
-
D.
Beomeosa Station
Beomeosa Station is a subway station in Busan, South Korea, serving as a key access point to the nearby Beomeosa Temple and surrounding Geumjeong District area.
-
E.
Oncheonjang Station
Oncheonjang Station is a subway station in Busan, South Korea, serving the Oncheonjang area in Dongnae District and providing access to its hot spring and commercial zones.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb09e714881909cef0f7e77b5b3b9 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fc7f4988190931e58d2f95b9049 |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae2078f5bc81909e4226e4f4188e87 |
completed | March 9, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2121a43481908ea6eef3d4e06407 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:34 p.m.