Triple
T9889384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanfu |
E181415
|
entity |
| Predicate | typicalGarmentType |
P15063
|
FINISHED |
| Object |
beizi
Beizi is a traditional Chinese outer garment characterized by its loose, straight-cut design and long sleeves, commonly worn as part of Hanfu attire.
|
E827520
|
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: beizi | Statement: [Hanfu, typicalGarmentType, beizi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: beizi Context triple: [Hanfu, typicalGarmentType, beizi]
-
A.
Bǎojī
Bǎojī is the Hanyu Pinyin romanization of the name of Baoji, a prefecture-level city in Shaanxi Province, China.
-
B.
Bianliang
Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
-
C.
Qibao
Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
-
D.
Qiaoban
Qiaoban is a Chinese government agency under the State Council responsible for managing affairs related to overseas Chinese and their ties to China.
-
E.
Min Bei
Min Bei is a major northern branch of the Min group of Sinitic (Chinese) languages, spoken primarily in parts of Fujian province in southeastern China.
- 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: beizi Triple: [Hanfu, typicalGarmentType, beizi]
Generated description
Beizi is a traditional Chinese outer garment characterized by its loose, straight-cut design and long sleeves, commonly worn as part of Hanfu attire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: beizi Target entity description: Beizi is a traditional Chinese outer garment characterized by its loose, straight-cut design and long sleeves, commonly worn as part of Hanfu attire.
-
A.
Bǎojī
Bǎojī is the Hanyu Pinyin romanization of the name of Baoji, a prefecture-level city in Shaanxi Province, China.
-
B.
Bianliang
Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
-
C.
Qibao
Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
-
D.
Qiaoban
Qiaoban is a Chinese government agency under the State Council responsible for managing affairs related to overseas Chinese and their ties to China.
-
E.
Min Bei
Min Bei is a major northern branch of the Min group of Sinitic (Chinese) languages, spoken primarily in parts of Fujian province in southeastern China.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47be2988190811a99dc56ae542a |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb08075c81908e017df8048daba8 |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1eca8703c8190a473fdafa2a2d273 |
completed | April 5, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed2a1318819087a5b787724fa10c |
completed | April 5, 2026, 5:03 a.m. |
Created at: March 30, 2026, 8:39 p.m.