Triple
T8593826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guang’an |
E203493
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Qianfeng District
Qianfeng District is an administrative district within the prefecture-level city of Guang’an in Sichuan Province, China.
|
E778538
|
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: Qianfeng District | Statement: [Guang’an, hasAdministrativeDivision, Qianfeng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qianfeng District Context triple: [Guang’an, hasAdministrativeDivision, Qianfeng District]
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
-
C.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
-
D.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
E.
Fangzi District
Fangzi District is an urban administrative district within the prefecture-level city of Weifang in Shandong Province, eastern 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: Qianfeng District Triple: [Guang’an, hasAdministrativeDivision, Qianfeng District]
Generated description
Qianfeng District is an administrative district within the prefecture-level city of Guang’an in Sichuan Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qianfeng District Target entity description: Qianfeng District is an administrative district within the prefecture-level city of Guang’an in Sichuan Province, China.
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
-
C.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
-
D.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
E.
Fangzi District
Fangzi District is an urban administrative district within the prefecture-level city of Weifang in Shandong Province, eastern 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02f4d26ec8190baacf68b7e6ca0eb |
completed | April 3, 2026, 9:21 p.m. |
| NEDg | Description generation | batch_69d03133ab2081909ea8d32bd7689dec |
completed | April 3, 2026, 9:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d031db52d08190962c352014a99135 |
completed | April 3, 2026, 9:32 p.m. |
Created at: March 30, 2026, 6:23 p.m.