Triple
T11266926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 17 |
E266709
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Zhuguang Road
Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
|
E918608
|
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: Zhuguang Road | Statement: [Shanghai Metro Line 17, hasStation, Zhuguang Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhuguang Road Context triple: [Shanghai Metro Line 17, hasStation, Zhuguang Road]
-
A.
Hongqiao Road
Hongqiao Road is a major transport hub and interchange station in Shanghai’s metro network, serving multiple lines and providing access to the busy Hongqiao commercial and residential area.
-
B.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
-
C.
Zhenping Road
Zhenping Road is a metro station in Shanghai that serves as an interchange stop on the city's urban rail network.
-
D.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
E.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in 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: Zhuguang Road Triple: [Shanghai Metro Line 17, hasStation, Zhuguang Road]
Generated description
Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhuguang Road Target entity description: Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
-
A.
Hongqiao Road
Hongqiao Road is a major transport hub and interchange station in Shanghai’s metro network, serving multiple lines and providing access to the busy Hongqiao commercial and residential area.
-
B.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
-
C.
Zhenping Road
Zhenping Road is a metro station in Shanghai that serves as an interchange stop on the city's urban rail network.
-
D.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
E.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in 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_69e5258cc5208190be268ac6a82c9419 |
completed | April 19, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69e52c81449c8190847b64fa91a45b2e |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5319b6ef0819096debabfb6ffbe70 |
completed | April 19, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:31 p.m.