Triple
T19598793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 종묘 |
E470412
|
entity |
| Predicate | hanjaName |
P27905
|
FINISHED |
| Object |
宗廟
宗廟 is the royal ancestral shrine of the Joseon Dynasty in Seoul, Korea, renowned as a UNESCO World Heritage site and an important center of Confucian ritual.
|
E1384935
|
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: 宗廟 | Statement: [종묘, hanjaName, 宗廟]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 宗廟 Context triple: [종묘, hanjaName, 宗廟]
-
A.
敬宮
敬宮 is the courtesy name of Princess Aiko, the only child of Emperor Naruhito and Empress Masako of Japan.
-
B.
Temple of Zhou Gong
The Temple of Zhou Gong is a historic Chinese temple in Qufu dedicated to Zhou Gong (the Duke of Zhou), a foundational statesman and cultural figure of early Zhou dynasty China.
-
C.
禮賓府
禮賓府是位於香港中區、現作為香港特別行政區行政長官官方住所及接待外賓的重要歷史建築。
-
D.
弘化門
弘化門 is a historic gate of Gyeongbokgung Palace in Seoul, South Korea, serving as one of its main entrances during the Joseon Dynasty.
-
E.
鎮瀾宮
鎮瀾宮 is a famous Mazu temple in Dajia District, Taichung, Taiwan, renowned for its grand annual Mazu pilgrimage and major role in local religious and cultural life.
- 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: 宗廟 Triple: [종묘, hanjaName, 宗廟]
Generated description
宗廟 is the royal ancestral shrine of the Joseon Dynasty in Seoul, Korea, renowned as a UNESCO World Heritage site and an important center of Confucian ritual.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 宗廟 Target entity description: 宗廟 is the royal ancestral shrine of the Joseon Dynasty in Seoul, Korea, renowned as a UNESCO World Heritage site and an important center of Confucian ritual.
-
A.
敬宮
敬宮 is the courtesy name of Princess Aiko, the only child of Emperor Naruhito and Empress Masako of Japan.
-
B.
Temple of Zhou Gong
The Temple of Zhou Gong is a historic Chinese temple in Qufu dedicated to Zhou Gong (the Duke of Zhou), a foundational statesman and cultural figure of early Zhou dynasty China.
-
C.
禮賓府
禮賓府是位於香港中區、現作為香港特別行政區行政長官官方住所及接待外賓的重要歷史建築。
-
D.
弘化門
弘化門 is a historic gate of Gyeongbokgung Palace in Seoul, South Korea, serving as one of its main entrances during the Joseon Dynasty.
-
E.
鎮瀾宮
鎮瀾宮 is a famous Mazu temple in Dajia District, Taichung, Taiwan, renowned for its grand annual Mazu pilgrimage and major role in local religious and cultural life.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407d46188190b9818665b2a698a5 |
completed | April 20, 2026, 3:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f1be2d48190a1beec726ea4e410 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a075fde0d8c8190aefc4a06beda2c79 |
completed | May 15, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a076039f7188190add1c65a4a9e32ce |
completed | May 15, 2026, 6:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.