Triple
T23449711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liujiang River |
E567742
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
柳江
柳江是中国广西壮族自治区境内的一条重要河流，是柳州市的母亲河并为珠江水系上游支流之一。
|
E1587370
|
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: 柳江 | Statement: [Liujiang River, ChineseName, 柳江]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 柳江 Context triple: [Liujiang River, ChineseName, 柳江]
-
A.
沅江
沅江是中国湖南省境内一条重要河流，以其历史文化底蕴和对湘西地区生态与航运的影响而闻名。
-
B.
珠江
珠江是中国南部重要的河流和水系之一，流经广州等地并最终注入南海。
-
C.
Li River (Hunan)
Li River (Hunan) is a scenic river flowing through China’s Hunan Province, known for its picturesque landscapes and regional ecological and cultural significance.
-
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.
澜沧江
澜沧江是发源于中国青藏高原、流经中国西南并向南进入东南亚多国的重要跨境河流，在境外河段被称为湄公河。
- 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: 柳江 Triple: [Liujiang River, ChineseName, 柳江]
Generated description
柳江是中国广西壮族自治区境内的一条重要河流，是柳州市的母亲河并为珠江水系上游支流之一。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 柳江 Target entity description: 柳江是中国广西壮族自治区境内的一条重要河流，是柳州市的母亲河并为珠江水系上游支流之一。
-
A.
沅江
沅江是中国湖南省境内一条重要河流，以其历史文化底蕴和对湘西地区生态与航运的影响而闻名。
-
B.
珠江
珠江是中国南部重要的河流和水系之一，流经广州等地并最终注入南海。
-
C.
Li River (Hunan)
Li River (Hunan) is a scenic river flowing through China’s Hunan Province, known for its picturesque landscapes and regional ecological and cultural significance.
-
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.
澜沧江
澜沧江是发源于中国青藏高原、流经中国西南并向南进入东南亚多国的重要跨境河流，在境外河段被称为湄公河。
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64c1ee081908ba3adf5ce80d6a5 |
completed | April 29, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67bb72588190b6ba67c57b912f30 |
completed | May 19, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a0c7218a358819082d8b19b57b61013 |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c770386a8819098358513016ae5ab |
completed | May 19, 2026, 2:43 p.m. |
Created at: April 17, 2026, 5:52 p.m.