Triple
T10034945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黄冈市 |
E204941
|
entity |
| Predicate | 知名特产 |
P67817
|
FINISHED |
| Object |
英山云雾茶
英山云雾茶是一种产自湖北省英山县高山云雾地带、以清香鲜爽和悠长回甘著称的优质绿茶。
|
E836808
|
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: 英山云雾茶 | Statement: [黄冈市, 知名特产, 英山云雾茶]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 英山云雾茶 Context triple: [黄冈市, 知名特产, 英山云雾茶]
-
A.
Huangshan Maofeng tea
Huangshan Maofeng tea is a renowned Chinese green tea prized for its delicate floral aroma, sweet mellow taste, and origin in the misty Yellow Mountain region.
-
B.
Longjing tea
Longjing tea is a famous high-quality Chinese green tea, renowned for its flat, jade-green leaves and delicate, nutty flavor, traditionally produced near Hangzhou in Zhejiang province.
-
C.
Lu’an Guapian tea
Lu’an Guapian tea is a famous Chinese green tea from Lu’an in Anhui Province, renowned for its flat, melon-seed-shaped leaves and rich, mellow flavor.
-
D.
Keemun black tea
Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
-
E.
Thái Nguyên tea
Thái Nguyên tea is a renowned Vietnamese green tea celebrated for its strong aroma, rich flavor, and origin in the highland plantations of Thái Nguyên Province.
- 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: 英山云雾茶 Triple: [黄冈市, 知名特产, 英山云雾茶]
Generated description
英山云雾茶是一种产自湖北省英山县高山云雾地带、以清香鲜爽和悠长回甘著称的优质绿茶。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 英山云雾茶 Target entity description: 英山云雾茶是一种产自湖北省英山县高山云雾地带、以清香鲜爽和悠长回甘著称的优质绿茶。
-
A.
Huangshan Maofeng tea
Huangshan Maofeng tea is a renowned Chinese green tea prized for its delicate floral aroma, sweet mellow taste, and origin in the misty Yellow Mountain region.
-
B.
Longjing tea
Longjing tea is a famous high-quality Chinese green tea, renowned for its flat, jade-green leaves and delicate, nutty flavor, traditionally produced near Hangzhou in Zhejiang province.
-
C.
Lu’an Guapian tea
Lu’an Guapian tea is a famous Chinese green tea from Lu’an in Anhui Province, renowned for its flat, melon-seed-shaped leaves and rich, mellow flavor.
-
D.
Keemun black tea
Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
-
E.
Thái Nguyên tea
Thái Nguyên tea is a renowned Vietnamese green tea celebrated for its strong aroma, rich flavor, and origin in the highland plantations of Thái Nguyên Province.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4a515c8190baec86d924623b12 |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28250be608190b7e2b809672cdd78 |
completed | April 5, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69d2834f6d488190812f91a5b4971c1e |
completed | April 5, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d28432d900819091ff0d324a6bb28a |
completed | April 5, 2026, 3:48 p.m. |
Created at: March 30, 2026, 8:55 p.m.