Triple
T9731906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pujiang Line |
E235764
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Huizhen Road
Huizhen Road is a metro station in Shanghai, China, serving as the southern terminus of the Pujiang Line.
|
E818007
|
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: Huizhen Road | Statement: [Pujiang Line, terminus, Huizhen Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huizhen Road Context triple: [Pujiang Line, terminus, Huizhen Road]
-
A.
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.
-
B.
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.
-
C.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
-
D.
Wukang Road
Wukang Road is a historic, tree-lined street in Shanghai known for its well-preserved early 20th-century architecture and cultural landmarks.
-
E.
Changshou Road
Changshou Road is a major thoroughfare in Shanghai, China, known for its dense commercial activity and urban residential neighborhoods within the central city.
- 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: Huizhen Road Triple: [Pujiang Line, terminus, Huizhen Road]
Generated description
Huizhen Road is a metro station in Shanghai, China, serving as the southern terminus of the Pujiang Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huizhen Road Target entity description: Huizhen Road is a metro station in Shanghai, China, serving as the southern terminus of the Pujiang Line.
-
A.
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.
-
B.
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.
-
C.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
-
D.
Wukang Road
Wukang Road is a historic, tree-lined street in Shanghai known for its well-preserved early 20th-century architecture and cultural landmarks.
-
E.
Changshou Road
Changshou Road is a major thoroughfare in Shanghai, China, known for its dense commercial activity and urban residential neighborhoods within the central city.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb3d6e4819090b3c7fb92550c57 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afba5ec081908044a4aefdc6f9ee |
completed | April 5, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d1b0dde93881908fcec28de9cfa99d |
completed | April 5, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1bbe6108190af17b75f79c0f465 |
completed | April 5, 2026, 12:50 a.m. |
Created at: March 30, 2026, 8:22 p.m.