Triple
T1655516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geumjeong District |
E35789
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nopo-dong
Nopo-dong is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
|
E187743
|
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: Nopo-dong | Statement: [Geumjeong District, contains, Nopo-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nopo-dong Context triple: [Geumjeong District, contains, Nopo-dong]
-
A.
Mangyongdae
Mangyongdae is a historic district in Pyongyang, North Korea, known as the birthplace and commemorative site of the country's founding leader, Kim Il Sung.
-
B.
Ami-dong
Ami-dong is a neighborhood in Busan, South Korea, known in part for hosting a campus of Pusan National University.
-
C.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
-
D.
Gamjeon-dong
Gamjeon-dong is a neighborhood in the Sasang District of Busan, South Korea, known as a residential and commercial area within the city.
-
E.
Gwaebeop-dong
Gwaebeop-dong is a neighborhood in Busan, South Korea, known as an administrative subdivision of the city's Sasang District.
- 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: Nopo-dong Triple: [Geumjeong District, contains, Nopo-dong]
Generated description
Nopo-dong is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nopo-dong Target entity description: Nopo-dong is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
-
A.
Mangyongdae
Mangyongdae is a historic district in Pyongyang, North Korea, known as the birthplace and commemorative site of the country's founding leader, Kim Il Sung.
-
B.
Ami-dong
Ami-dong is a neighborhood in Busan, South Korea, known in part for hosting a campus of Pusan National University.
-
C.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
-
D.
Gamjeon-dong
Gamjeon-dong is a neighborhood in the Sasang District of Busan, South Korea, known as a residential and commercial area within the city.
-
E.
Gwaebeop-dong
Gwaebeop-dong is a neighborhood in Busan, South Korea, known as an administrative subdivision of the city's Sasang District.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb4535180819088e3bdaa591dcdbd |
completed | March 7, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6821d18c8190b411bb031c142580 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad68a9769081908a0748b8d02b8379 |
completed | March 8, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad692d61288190ad0c0265f49643ac |
completed | March 8, 2026, 12:18 p.m. |
Created at: March 4, 2026, 7:29 p.m.