Triple
T10076668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen River |
E213779
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
汾河
汾河是中国山西省境内黄河第二大支流,也是该省重要的母亲河和生态、经济发展轴线之一。
|
E839302
|
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: 汾河 | Statement: [Fen River, ChineseName, 汾河]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 汾河 Context triple: [Fen River, ChineseName, 汾河]
-
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.
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。
-
C.
长江
长江是中国最长、亚洲第一长河流,贯穿中国西部至东部并对沿岸地区的经济、文化和生态具有深远影响。
-
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.
河
河 is a common Chinese character meaning “river,” frequently used in place names and everyday vocabulary.
- 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: 汾河 Triple: [Fen River, ChineseName, 汾河]
Generated description
汾河是中国山西省境内黄河第二大支流,也是该省重要的母亲河和生态、经济发展轴线之一。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 汾河 Target entity description: 汾河是中国山西省境内黄河第二大支流,也是该省重要的母亲河和生态、经济发展轴线之一。
-
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.
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。
-
C.
长江
长江是中国最长、亚洲第一长河流,贯穿中国西部至东部并对沿岸地区的经济、文化和生态具有深远影响。
-
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.
河
河 is a common Chinese character meaning “river,” frequently used in place names and everyday vocabulary.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0190d808190847ea0fa401ef06c |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ac67cb48190ba53a87c3749a245 |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29c98e470819098bdf9fa51f40d1f |
completed | April 5, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29d0190988190891c264556856f60 |
completed | April 5, 2026, 5:33 p.m. |
Created at: March 30, 2026, 8:59 p.m.