Triple
T5232848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese imperial examination system |
E118150
|
entity |
| Predicate | lowerDegree |
P11456
|
FINISHED |
| Object |
shengyuan
Shengyuan was the lowest scholarly degree in imperial China’s examination system, designating entry-level licentiates eligible for further civil service exams.
|
E504971
|
NE FINISHED |
How this triple was built (5 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: shengyuan | Statement: [Chinese imperial examination system, lowerDegree, shengyuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: shengyuan Context triple: [Chinese imperial examination system, lowerDegree, shengyuan]
-
A.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
B.
Zheyuan
Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
-
C.
Zhenyuan
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
-
D.
Shëngjin
Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
-
E.
Shiing-Shen
Shiing-Shen Chern was a Chinese-American mathematician renowned for his foundational contributions to differential geometry and the development of Chern classes in topology.
- 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: shengyuan Triple: [Chinese imperial examination system, lowerDegree, shengyuan]
Generated description
Shengyuan was the lowest scholarly degree in imperial China’s examination system, designating entry-level licentiates eligible for further civil service exams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: shengyuan Target entity description: Shengyuan was the lowest scholarly degree in imperial China’s examination system, designating entry-level licentiates eligible for further civil service exams.
-
A.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
B.
Zheyuan
Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
-
C.
Zhenyuan
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
-
D.
Shëngjin
Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
-
E.
Shiing-Shen
Shiing-Shen Chern was a Chinese-American mathematician renowned for his foundational contributions to differential geometry and the development of Chern classes in topology.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerDegree Context triple: [Chinese imperial examination system, lowerDegree, shengyuan]
-
A.
lowerRank
chosen
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
-
B.
lowestCategory
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
-
C.
lowestRank
Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
-
D.
lowerValueIndicates
Indicates that a smaller numerical value of a property or measurement corresponds to a greater degree, better outcome, or stronger presence of the relevant characteristic.
-
E.
lowerRankDescription
Indicates that one entity holds a lower rank or status in a hierarchy relative to another entity.
- F. None of above.
Provenance (6 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8154940819098ed76e14804f4b3 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef8bfcd1c819090b81f8ebb097c5b |
completed | March 21, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef95e7ce48190a1ec2fc27ce37d00 |
completed | March 21, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.