Triple
T7201812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tao River |
E168763
|
entity |
| Predicate | nameInChinese |
P4878
|
FINISHED |
| Object |
洮河
洮河是中国西北地区一条重要的黄河支流,流经甘肃等地,以其多民族聚居的流域文化和生态景观而闻名。
|
E648803
|
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: 洮河 | Statement: [Tao River, nameInChinese, 洮河]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 洮河 Context triple: [Tao River, nameInChinese, 洮河]
-
A.
洛河
洛河是一条位于中国中部、历史文化底蕴深厚的河流,在中华古代神话与文学中具有重要地位。
-
B.
Huangshui River
The Huangshui River is a significant river in Qinghai and Gansu provinces of China, flowing through the city of Xining and playing an important role in the ecology and agriculture of the northeastern Tibetan Plateau.
-
C.
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。
-
D.
河
河 is a common Chinese character meaning “river,” frequently used in place names and everyday vocabulary.
-
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: 洮河 Triple: [Tao River, nameInChinese, 洮河]
Generated description
洮河是中国西北地区一条重要的黄河支流,流经甘肃等地,以其多民族聚居的流域文化和生态景观而闻名。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 洮河 Target entity description: 洮河是中国西北地区一条重要的黄河支流,流经甘肃等地,以其多民族聚居的流域文化和生态景观而闻名。
-
A.
洛河
洛河是一条位于中国中部、历史文化底蕴深厚的河流,在中华古代神话与文学中具有重要地位。
-
B.
Huangshui River
The Huangshui River is a significant river in Qinghai and Gansu provinces of China, flowing through the city of Xining and playing an important role in the ecology and agriculture of the northeastern Tibetan Plateau.
-
C.
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。
-
D.
河
河 is a common Chinese character meaning “river,” frequently used in place names and everyday vocabulary.
-
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
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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e94971508190bb38184c9af2fe51 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfb0f4688190a677b818a0b3619c |
completed | March 28, 2026, 11:46 a.m. |
| NEDg | Description generation | batch_69c7c09957d881909847e8bf3cf25b92 |
completed | March 28, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c123c4b48190a76fb869f7abc553 |
completed | March 28, 2026, 11:53 a.m. |
Created at: March 27, 2026, 2:52 p.m.