Triple
T9208046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changle Road |
E221037
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
长乐路
长乐路是位于中国上海市中心、以历史建筑与时尚商业氛围著称的一条城市道路。
|
E785161
|
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: 长乐路 | Statement: [Changle Road, hasChineseName, 长乐路]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 长乐路 Context triple: [Changle Road, hasChineseName, 长乐路]
-
A.
Pingjiang Road
Pingjiang Road is a historic canal-side street in Suzhou famed for its well-preserved traditional architecture, stone bridges, and teahouses that showcase the charm of classical Jiangnan water-town life.
-
B.
Zhongshan Road
Zhongshan Road is the historic waterfront thoroughfare in Shanghai that runs along the Bund, lined with iconic colonial-era buildings and views of the Huangpu River.
-
C.
Zhongshan Road
Zhongshan Road is a famous pedestrian shopping and dining street in Xiamen, China, known for its historic architecture, local snacks, and vibrant nightlife.
-
D.
Yuyuan Road
Yuyuan Road is a historic and culturally rich street in Shanghai known for its traditional architecture, local shops, and blend of old and modern urban life.
-
E.
Yongkang Road
Yongkang Road is a popular street in Shanghai known for its lively bars, cafés, and expat-friendly nightlife within the former French Concession area.
- 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: 长乐路 Triple: [Changle Road, hasChineseName, 长乐路]
Generated description
长乐路是位于中国上海市中心、以历史建筑与时尚商业氛围著称的一条城市道路。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 长乐路 Target entity description: 长乐路是位于中国上海市中心、以历史建筑与时尚商业氛围著称的一条城市道路。
-
A.
Pingjiang Road
Pingjiang Road is a historic canal-side street in Suzhou famed for its well-preserved traditional architecture, stone bridges, and teahouses that showcase the charm of classical Jiangnan water-town life.
-
B.
Zhongshan Road
Zhongshan Road is the historic waterfront thoroughfare in Shanghai that runs along the Bund, lined with iconic colonial-era buildings and views of the Huangpu River.
-
C.
Zhongshan Road
Zhongshan Road is a famous pedestrian shopping and dining street in Xiamen, China, known for its historic architecture, local snacks, and vibrant nightlife.
-
D.
Yuyuan Road
Yuyuan Road is a historic and culturally rich street in Shanghai known for its traditional architecture, local shops, and blend of old and modern urban life.
-
E.
Yongkang Road
Yongkang Road is a popular street in Shanghai known for its lively bars, cafés, and expat-friendly nightlife within the former French Concession area.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b217008190a0ab4971dd4a8899 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e49fcc81909ddb838a8ad28c57 |
completed | April 4, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69d06770ccf08190b00bf35c16a80071 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d06864b8c48190b8e08ab9c1c85c9a |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:26 p.m.