Triple
T11266921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 17 |
E266709
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Dianshanhu Avenue
Dianshanhu Avenue is a metro station on Shanghai’s Line 17 serving the western suburban area near Dianshan Lake.
|
E915070
|
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: Dianshanhu Avenue | Statement: [Shanghai Metro Line 17, hasStation, Dianshanhu Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dianshanhu Avenue Context triple: [Shanghai Metro Line 17, hasStation, Dianshanhu Avenue]
-
A.
Tianhe Road
Tianhe Road is a major commercial and traffic artery in Guangzhou’s Tianhe District, lined with shopping centers, offices, and urban amenities.
-
B.
Loushanguan Road
Loushanguan Road is a major commercial and residential street in Shanghai, China, known for its shopping centers, offices, and convenient metro connections.
-
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.
Chunxi Road
Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
-
E.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
- 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: Dianshanhu Avenue Triple: [Shanghai Metro Line 17, hasStation, Dianshanhu Avenue]
Generated description
Dianshanhu Avenue is a metro station on Shanghai’s Line 17 serving the western suburban area near Dianshan Lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dianshanhu Avenue Target entity description: Dianshanhu Avenue is a metro station on Shanghai’s Line 17 serving the western suburban area near Dianshan Lake.
-
A.
Tianhe Road
Tianhe Road is a major commercial and traffic artery in Guangzhou’s Tianhe District, lined with shopping centers, offices, and urban amenities.
-
B.
Loushanguan Road
Loushanguan Road is a major commercial and residential street in Shanghai, China, known for its shopping centers, offices, and convenient metro connections.
-
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.
Chunxi Road
Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
-
E.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94e5e3c8190a31995d55d20d7ed |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccd52c20819093e03bba2fd359b7 |
completed | April 19, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69e4d9ed6a048190ae7476d44cee6a6e |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ddb1b4c8819087699bc73610c7f8 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:31 p.m.