Triple
T3217289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan dynasty |
E67425
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Da Yuan
Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
|
E348380
|
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: Da Yuan | Statement: [Yuan dynasty, alsoKnownAs, Da Yuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Yuan Context triple: [Yuan dynasty, alsoKnownAs, Da Yuan]
-
A.
Jianye
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
-
B.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
C.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
D.
Daoxin
Daoxin was an influential early Chinese Chan (Zen) Buddhist master traditionally regarded as the Fourth Patriarch, known for helping shape the school’s meditative and doctrinal foundations.
-
E.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
- 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: Da Yuan Triple: [Yuan dynasty, alsoKnownAs, Da Yuan]
Generated description
Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Da Yuan Target entity description: Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
-
A.
Jianye
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
-
B.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
C.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
D.
Daoxin
Daoxin was an influential early Chinese Chan (Zen) Buddhist master traditionally regarded as the Fourth Patriarch, known for helping shape the school’s meditative and doctrinal foundations.
-
E.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab0ae494819093d39c367facde27 |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a63fb6081909a7a15cf8a03e52e |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c33fc3c8190b5af3f38206736de |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31c9f48788190bdf4b4ce47e1e5b5 |
completed | March 12, 2026, 8:05 p.m. |
Created at: March 8, 2026, 3:08 p.m.