Triple
T2072511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minhang District |
E44846
|
entity |
| Predicate | hasResidentialArea |
P9064
|
FINISHED |
| Object |
Wujing
Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
|
E231297
|
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: Wujing | Statement: [Minhang District, hasResidentialArea, Wujing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wujing Context triple: [Minhang District, hasResidentialArea, Wujing]
-
A.
Zhenjin
Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
-
B.
Qujing
Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
-
C.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
D.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
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: Wujing Triple: [Minhang District, hasResidentialArea, Wujing]
Generated description
Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wujing Target entity description: Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
-
A.
Zhenjin
Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
-
B.
Qujing
Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
-
C.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
D.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0eaa5081908f6d6ff80f79b1c9 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae272ee27c8190a4bb4690961dccf6 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae27b2c9d08190b1950abd8d41d3b3 |
completed | March 9, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2817ce3c81908e48170760cf98ef |
completed | March 9, 2026, 1:53 a.m. |
Created at: March 4, 2026, 7:41 p.m.