Triple
T10082255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 4 |
E213929
|
entity |
| Predicate | connectsStation |
P845
|
FINISHED |
| Object |
South Xizang Road
South Xizang Road is a metro station in Shanghai that serves as part of the city's urban rapid transit network.
|
E848540
|
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: South Xizang Road | Statement: [Shanghai Metro Line 4, connectsStation, South Xizang Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Xizang Road Context triple: [Shanghai Metro Line 4, connectsStation, South Xizang Road]
-
A.
Tianshan Road
Tianshan Road is a major commercial and residential street in Shanghai, China, known for its shops, offices, and urban amenities.
-
B.
Longyang Road
Longyang Road is a major thoroughfare in Shanghai, China, known for serving as a key transportation corridor in the Pudong 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.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
-
E.
Lancun Road
Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area 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: South Xizang Road Triple: [Shanghai Metro Line 4, connectsStation, South Xizang Road]
Generated description
South Xizang Road is a metro station in Shanghai that serves as part of the city's urban rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Xizang Road Target entity description: South Xizang Road is a metro station in Shanghai that serves as part of the city's urban rapid transit network.
-
A.
Tianshan Road
Tianshan Road is a major commercial and residential street in Shanghai, China, known for its shops, offices, and urban amenities.
-
B.
Longyang Road
Longyang Road is a major thoroughfare in Shanghai, China, known for serving as a key transportation corridor in the Pudong 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.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
-
E.
Lancun Road
Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd03482d481908b03d35dc2d16395 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3697d5b008190b274a086172c7a7d |
completed | April 6, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_69d37540b60c8190a52b03c57b4e3708 |
completed | April 6, 2026, 8:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3763948188190a47f48076fc767cb |
completed | April 6, 2026, 9 a.m. |
Created at: March 30, 2026, 9 p.m.