Triple
T1777920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pudong New Area |
E39222
|
entity |
| Predicate | hasSubdistrict |
P747
|
FINISHED |
| Object |
Kangqiao
Kangqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities, international schools, and growing commercial development.
|
E220392
|
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: Kangqiao | Statement: [Pudong New Area, hasSubdistrict, Kangqiao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kangqiao Context triple: [Pudong New Area, hasSubdistrict, Kangqiao]
-
A.
Jinqiao
Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
-
B.
Lingang
Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
-
C.
Bao’an
Bao’an is a historical county-level area in Guangdong, China, that once encompassed what is now the modern city of Shenzhen.
-
D.
Lujiazui
Lujiazui is Shanghai’s major financial district and futuristic skyline area on the east bank of the Huangpu River, known for its cluster of iconic skyscrapers.
-
E.
Xinjing
Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
- 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: Kangqiao Triple: [Pudong New Area, hasSubdistrict, Kangqiao]
Generated description
Kangqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities, international schools, and growing commercial development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kangqiao Target entity description: Kangqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities, international schools, and growing commercial development.
-
A.
Jinqiao
Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
-
B.
Lingang
Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
-
C.
Bao’an
Bao’an is a historical county-level area in Guangdong, China, that once encompassed what is now the modern city of Shenzhen.
-
D.
Lujiazui
Lujiazui is Shanghai’s major financial district and futuristic skyline area on the east bank of the Huangpu River, known for its cluster of iconic skyscrapers.
-
E.
Xinjing
Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64b967f08190a73216361b9c2d83 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb9c69488190abcbbf796176fca5 |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adfc50a3488190afe44ee5125d9ebd |
completed | March 8, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfcdccce48190a2591b90c81ad084 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:31 p.m.