Triple
T14753721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 海河 |
E346677
|
entity |
| Predicate | sourceConfluence |
P2416
|
FINISHED |
| Object |
北运河
北运河是中国华北地区一条重要的人工运河和航运水道,连接京津冀多地并承担防洪、灌溉与运输等功能。
|
E1118821
|
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: 北运河 | Statement: [海河, sourceConfluence, 北运河]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 北运河 Context triple: [海河, sourceConfluence, 北运河]
-
A.
南运河
南运河是中国华北地区一条重要的人工运河,属于京杭大运河与海河水系的重要组成部分,承担航运、防洪和灌溉等多种功能。
-
B.
大清河
大清河是中国华北地区一条重要河流,承担着海河流域部分行洪与灌溉等功能。
-
C.
潮白河
潮白河是华北地区一条重要河流,流经北京和河北等地,最终汇入海河水系。
-
D.
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。
-
E.
滹沱河
滹沱河是中国华北地区一条重要河流,流经山西和河北等地并最终汇入海河水系。
- 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: 北运河 Triple: [海河, sourceConfluence, 北运河]
Generated description
北运河是中国华北地区一条重要的人工运河和航运水道,连接京津冀多地并承担防洪、灌溉与运输等功能。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 北运河 Target entity description: 北运河是中国华北地区一条重要的人工运河和航运水道,连接京津冀多地并承担防洪、灌溉与运输等功能。
-
A.
南运河
南运河是中国华北地区一条重要的人工运河,属于京杭大运河与海河水系的重要组成部分,承担航运、防洪和灌溉等多种功能。
-
B.
大清河
大清河是中国华北地区一条重要河流,承担着海河流域部分行洪与灌溉等功能。
-
C.
潮白河
潮白河是华北地区一条重要河流,流经北京和河北等地,最终汇入海河水系。
-
D.
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。
-
E.
滹沱河
滹沱河是中国华北地区一条重要河流,流经山西和河北等地并最终汇入海河水系。
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cea5d348190a84970da131292ee |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe188470808190a13c00c5f7717353 |
completed | May 8, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe195a96288190a35535bcc1e378ef |
completed | May 8, 2026, 5:11 p.m. |
Created at: April 10, 2026, 1:30 a.m.