Triple
T19204238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongyureung |
E480188
|
entity |
| Predicate | romanizationMcCuneReischauer |
P23170
|
FINISHED |
| Object |
Hongyurŭng
Hongyurŭng is a Korean royal tomb complex whose name is rendered in the McCune–Reischauer romanization system.
|
E476835
|
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: Hongyurŭng | Statement: [Hongyureung, romanizationMcCuneReischauer, Hongyurŭng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hongyurŭng Context triple: [Hongyureung, romanizationMcCuneReischauer, Hongyurŭng]
-
A.
Hwangje
Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
-
B.
Hoeryong
Hoeryong is a city in northeastern North Korea known for its location near the Chinese border and its association with the country's political prison camp system.
-
C.
Gongjin
Gongjin is the courtesy name of Zhou Yu, a renowned Eastern Han dynasty military general and strategist best known for his role in the Battle of Red Cliffs.
-
D.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
E.
Hyeonreung
Hyeonreung is a royal tomb from Korea’s Joseon Dynasty, notable as one of the UNESCO-listed burial sites of its kings and queens.
- 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: Hongyurŭng Triple: [Hongyureung, romanizationMcCuneReischauer, Hongyurŭng]
Generated description
Hongyurŭng is a Korean royal tomb complex whose name is rendered in the McCune–Reischauer romanization system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hongyurŭng Target entity description: Hongyurŭng is a Korean royal tomb complex whose name is rendered in the McCune–Reischauer romanization system.
-
A.
Hwangje
Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
-
B.
Hoeryong
Hoeryong is a city in northeastern North Korea known for its location near the Chinese border and its association with the country's political prison camp system.
-
C.
Gongjin
Gongjin is the courtesy name of Zhou Yu, a renowned Eastern Han dynasty military general and strategist best known for his role in the Battle of Red Cliffs.
-
D.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
E.
Hyeonreung
chosen
Hyeonreung is a royal tomb from Korea’s Joseon Dynasty, notable as one of the UNESCO-listed burial sites of its kings and queens.
- F. None of above.
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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99b37c081908c13e0b4cca52aa4 |
completed | April 20, 2026, 10:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700de73948190a22ce83fa351f099 |
completed | May 15, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a07028a76ec8190a73f5ad24d380855 |
completed | May 15, 2026, 11:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0703248b748190b683455342da7238 |
completed | May 15, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:16 p.m.