Triple
T19768151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donggureung |
E474811
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sareung
Sareung is a royal tomb in South Korea that forms part of the Donggureung cluster of Joseon Dynasty burial sites.
|
E1404157
|
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: Sareung | Statement: [Donggureung, contains, Sareung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sareung Context triple: [Donggureung, contains, Sareung]
-
A.
Soreang
Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
-
B.
Sungsang
Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
-
C.
Ungjin
Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
-
D.
Dongjum
Dongjum is a small village in the province of Friesland in the northern Netherlands, known for its rural character and traditional Frisian landscape.
-
E.
Jangsaengpo
Jangsaengpo is a coastal district in Ulsan, South Korea, historically known as a major whaling port and now a center for marine and whale-related tourism.
- 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: Sareung Triple: [Donggureung, contains, Sareung]
Generated description
Sareung is a royal tomb in South Korea that forms part of the Donggureung cluster of Joseon Dynasty burial sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sareung Target entity description: Sareung is a royal tomb in South Korea that forms part of the Donggureung cluster of Joseon Dynasty burial sites.
-
A.
Soreang
Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
-
B.
Sungsang
Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
-
C.
Ungjin
Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
-
D.
Dongjum
Dongjum is a small village in the province of Friesland in the northern Netherlands, known for its rural character and traditional Frisian landscape.
-
E.
Jangsaengpo
Jangsaengpo is a coastal district in Ulsan, South Korea, historically known as a major whaling port and now a center for marine and whale-related tourism.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65358fc3c8190867fea2a2c4e7594 |
completed | April 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdb7a43481909afd787c8aa34e12 |
completed | May 16, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_6a07feb28eec81908a8e33a706cf9d9b |
completed | May 16, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff2e34608190a27995f6400c153a |
completed | May 16, 2026, 5:22 a.m. |
Created at: April 10, 2026, 1:48 p.m.