Triple
T14916829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanking Road |
E371402
|
entity |
| Predicate | hasMajorIntersection |
P12328
|
FINISHED |
| Object |
Henan Road
Henan Road is a major thoroughfare in central Shanghai, China, known for intersecting key commercial streets and serving as an important urban traffic artery.
|
E1128248
|
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: Henan Road | Statement: [Nanking Road, hasMajorIntersection, Henan Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henan Road Context triple: [Nanking Road, hasMajorIntersection, Henan Road]
-
A.
Zhenping Road
Zhenping Road is a metro station in Shanghai that serves as an interchange stop on the city's urban rail network.
-
B.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
-
C.
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.
-
D.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
-
E.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui 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: Henan Road Triple: [Nanking Road, hasMajorIntersection, Henan Road]
Generated description
Henan Road is a major thoroughfare in central Shanghai, China, known for intersecting key commercial streets and serving as an important urban traffic artery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henan Road Target entity description: Henan Road is a major thoroughfare in central Shanghai, China, known for intersecting key commercial streets and serving as an important urban traffic artery.
-
A.
Zhenping Road
Zhenping Road is a metro station in Shanghai that serves as an interchange stop on the city's urban rail network.
-
B.
Hangzhong Road
Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
-
C.
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.
-
D.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
-
E.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e86ce888190b03056db39438701 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7f6df97c8190a29013abcf37aa40 |
completed | May 9, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe802ce7108190b4c1e46be0c0fbd5 |
completed | May 9, 2026, 12:30 a.m. |
Created at: April 10, 2026, 2:32 a.m.