Triple
T9171914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oncheonjang Station |
E220100
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object |
Myeongnyun-dong
Myeongnyun-dong is a neighborhood in Busan, South Korea, known as a local residential and commercial area served by Oncheonjang Station on the Busan Metro.
|
E835532
|
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: Myeongnyun-dong | Statement: [Oncheonjang Station, locatedInNeighborhood, Myeongnyun-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myeongnyun-dong Context triple: [Oncheonjang Station, locatedInNeighborhood, Myeongnyun-dong]
-
A.
Beomjeon-dong
Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
-
B.
Okryeon-dong
Okryeon-dong is a neighborhood located within Yeonsu District in Incheon, South Korea.
-
C.
Yeocheon-dong
Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
-
D.
Hwamyeong-dong
Hwamyeong-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the city's urban landscape.
-
E.
Cheonghak-dong
Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, 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: Myeongnyun-dong Triple: [Oncheonjang Station, locatedInNeighborhood, Myeongnyun-dong]
Generated description
Myeongnyun-dong is a neighborhood in Busan, South Korea, known as a local residential and commercial area served by Oncheonjang Station on the Busan Metro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myeongnyun-dong Target entity description: Myeongnyun-dong is a neighborhood in Busan, South Korea, known as a local residential and commercial area served by Oncheonjang Station on the Busan Metro.
-
A.
Beomjeon-dong
Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
-
B.
Okryeon-dong
Okryeon-dong is a neighborhood located within Yeonsu District in Incheon, South Korea.
-
C.
Yeocheon-dong
Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
-
D.
Hwamyeong-dong
Hwamyeong-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the city's urban landscape.
-
E.
Cheonghak-dong
Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae38ee48190bf783477bc37913d |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2696450e4819086d5aac368127e5f |
completed | April 5, 2026, 1:53 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 7:22 p.m.