Triple
T14753720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 海河 |
E346677
|
entity |
| Predicate | sourceConfluence |
P2416
|
FINISHED |
| Object |
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。
|
E1117458
|
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: 南运河 | Statement: [海河, sourceConfluence, 南运河]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 南运河 Context triple: [海河, sourceConfluence, 南运河]
-
A.
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。
-
B.
小清河
小清河是一条位于中国华北地区、流经山东省多座城市并最终汇入渤海的重要河流。
-
C.
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。
-
D.
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。
-
E.
延河
延河是中国黄土高原上一条重要支流河流,流经陕西省延安地区并最终汇入黄河。
- 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: 南运河 Triple: [海河, sourceConfluence, 南运河]
Generated description
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。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 南运河 Target entity description: 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。
-
A.
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。
-
B.
小清河
小清河是一条位于中国华北地区、流经山东省多座城市并最终汇入渤海的重要河流。
-
C.
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。
-
D.
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。
-
E.
延河
延河是中国黄土高原上一条重要支流河流,流经陕西省延安地区并最终汇入黄河。
- 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_69fdfb9c725881908004368772fa528d |
completed | May 8, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69fdfde8ed30819083600cdac241675e |
completed | May 8, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfe969a6081908f4ebec0f6538811 |
completed | May 8, 2026, 3:17 p.m. |
Created at: April 10, 2026, 1:30 a.m.