Triple
T3328527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yizhuang Line |
E69976
|
entity |
| Predicate | hasLocale |
P387
|
FINISHED |
| Object |
Yizhuang
Yizhuang is a rapidly developing suburban area in southeastern Beijing known for its economic and technological development zone and growing residential communities.
|
E445829
|
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: Yizhuang | Statement: [Yizhuang Line, hasLocale, Yizhuang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yizhuang Context triple: [Yizhuang Line, hasLocale, Yizhuang]
-
A.
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.
-
B.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
-
C.
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.
-
D.
Changping District
Changping District is a suburban district in the northern part of Beijing, China, known for its historical sites and scenic mountainous landscapes.
-
E.
Fangshan District
Fangshan District is a suburban district in the southwest of Beijing, China, known for its mix of residential areas, industrial zones, and historical and natural attractions.
- 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: Yizhuang Triple: [Yizhuang Line, hasLocale, Yizhuang]
Generated description
Yizhuang is a rapidly developing suburban area in southeastern Beijing known for its economic and technological development zone and growing residential communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yizhuang Target entity description: Yizhuang is a rapidly developing suburban area in southeastern Beijing known for its economic and technological development zone and growing residential communities.
-
A.
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.
-
B.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
-
C.
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.
-
D.
Changping District
Changping District is a suburban district in the northern part of Beijing, China, known for its historical sites and scenic mountainous landscapes.
-
E.
Fangshan District
Fangshan District is a suburban district in the southwest of Beijing, China, known for its mix of residential areas, industrial zones, and historical and natural attractions.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1708b908190bc5c4122623d9b77 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd41fa66dc8190a2cafd8df215e971 |
completed | March 20, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69bd431c572c8190a59035a9b4a41112 |
completed | March 20, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd43ca589881908a6c6052353a0963 |
completed | March 20, 2026, 12:55 p.m. |
Created at: March 8, 2026, 3:12 p.m.