Triple
T8903777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 蛇山 |
E211994
|
entity |
| Predicate | 相关河流 |
P15504
|
FINISHED |
| Object |
长江武汉段
长江武汉段是指流经湖北省省会武汉市境内的长江河段,是重要的航运通道和城市景观带。
|
E766509
|
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: 长江武汉段 | Statement: [蛇山, 相关河流, 长江武汉段]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 长江武汉段 Context triple: [蛇山, 相关河流, 长江武汉段]
-
A.
汉江
汉江是中国长江中游最大的支流之一,流经陕西、湖北等地并在武汉与长江汇合。
-
B.
天河
天河是中国广东省广州市的一个重要市辖区,以其现代化的城市景观和繁华的商业中心而闻名。
-
C.
Han River (Wuhan)
The Han River in Wuhan is a major tributary of the Yangtze River that flows through the city, shaping its geography, history, and urban development.
-
D.
Lower reaches of the Yangtze River
The Lower reaches of the Yangtze River is the densely populated, economically vital downstream section of China’s Yangtze basin, encompassing major cities and industrial hubs near the river’s mouth.
-
E.
海河
海河是中国北方重要的河流和水系之一,流经天津等地并最终注入渤海。
- 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: 长江武汉段 Triple: [蛇山, 相关河流, 长江武汉段]
Generated description
长江武汉段是指流经湖北省省会武汉市境内的长江河段,是重要的航运通道和城市景观带。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 长江武汉段 Target entity description: 长江武汉段是指流经湖北省省会武汉市境内的长江河段,是重要的航运通道和城市景观带。
-
A.
汉江
汉江是中国长江中游最大的支流之一,流经陕西、湖北等地并在武汉与长江汇合。
-
B.
天河
天河是中国广东省广州市的一个重要市辖区,以其现代化的城市景观和繁华的商业中心而闻名。
-
C.
Han River (Wuhan)
The Han River in Wuhan is a major tributary of the Yangtze River that flows through the city, shaping its geography, history, and urban development.
-
D.
Lower reaches of the Yangtze River
The Lower reaches of the Yangtze River is the densely populated, economically vital downstream section of China’s Yangtze basin, encompassing major cities and industrial hubs near the river’s mouth.
-
E.
海河
海河是中国北方重要的河流和水系之一,流经天津等地并最终注入渤海。
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 相关河流 Context triple: [蛇山, 相关河流, 长江武汉段]
-
A.
associatedRiverBasin
Indicates that one entity is linked to, or lies within the drainage area of, a particular river basin.
-
B.
mainRiverAssociated
Indicates that one entity is associated with, or primarily linked to, a particular main river.
-
C.
riverSystem
Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
-
D.
closelyAssociatedRiver
chosen
Indicates a river that is geographically or functionally closely connected to the subject, such as flowing nearby, through, or otherwise strongly linked to it.
-
E.
riverRelation
Indicates a spatial or geographic relationship between one river and another, such as confluence, branching, or relative positioning.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c2509881908fb692522d348e96 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba26bc7881908639e9a812dec894 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbcab0cd88190a2ea89e27324e4ff |
completed | April 3, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbd71b8ec81909d222897c898e78a |
completed | April 3, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:55 p.m.