Triple
T4839076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Tombs of the Joseon Dynasty |
E108133
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hwireung
Hwireung is a royal tomb from Korea’s Joseon Dynasty, notable as one of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
|
E474817
|
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: Hwireung | Statement: [Royal Tombs of the Joseon Dynasty, hasPart, Hwireung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hwireung Context triple: [Royal Tombs of the Joseon Dynasty, hasPart, Hwireung]
-
A.
Huwon
Huwon is the secret rear garden of Changdeokgung Palace in Seoul, renowned for its landscaped ponds, pavilions, and natural woodland used historically as a royal retreat.
-
B.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
C.
Gwangalli
Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
-
D.
Ghindae
Ghindae is a town in Eritrea located within the Northern Red Sea administrative region.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- 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: Hwireung Triple: [Royal Tombs of the Joseon Dynasty, hasPart, Hwireung]
Generated description
Hwireung is a royal tomb from Korea’s Joseon Dynasty, notable as one of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hwireung Target entity description: Hwireung is a royal tomb from Korea’s Joseon Dynasty, notable as one of the UNESCO-listed Royal Tombs of the Joseon Dynasty.
-
A.
Huwon
Huwon is the secret rear garden of Changdeokgung Palace in Seoul, renowned for its landscaped ponds, pavilions, and natural woodland used historically as a royal retreat.
-
B.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
C.
Gwangalli
Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
-
D.
Ghindae
Ghindae is a town in Eritrea located within the Northern Red Sea administrative region.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce4a5108190aede620d5dde1f81 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc5861881908ad3838168325a34 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5ed104e48190b01ea97094be6a96 |
completed | March 21, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5fe07d708190ba0dde4c081e15c6 |
completed | March 21, 2026, 9:07 a.m. |
Created at: March 20, 2026, 1:25 p.m.