Triple
T12370695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suining County |
E294992
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Suicheng Subdistrict
Suicheng Subdistrict is the main urban administrative area and political center of Suining County in China.
|
E979051
|
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: Suicheng Subdistrict | Statement: [Suining County, capital, Suicheng Subdistrict]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suicheng Subdistrict Context triple: [Suining County, capital, Suicheng Subdistrict]
-
A.
Peicheng Subdistrict
Peicheng Subdistrict is the main urban administrative center of Pei County in Jiangsu Province, China.
-
B.
Wangchengpo Subdistrict
Wangchengpo Subdistrict is an urban administrative subdistrict in Changsha, Hunan, China, serving as the governmental and commercial hub of Yuelu District.
-
C.
Yuanling Subdistrict
Yuanling Subdistrict is an urban administrative division located within Futian District in Shenzhen, Guangdong Province, China.
-
D.
Zhangmiao Subdistrict
Zhangmiao Subdistrict is an urban administrative division located within Baoshan District of Shanghai, China.
-
E.
Longcheng Subdistrict
Longcheng Subdistrict is an urban administrative area within Longgang District of Shenzhen, China, known for its residential communities and local commercial development.
- 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: Suicheng Subdistrict Triple: [Suining County, capital, Suicheng Subdistrict]
Generated description
Suicheng Subdistrict is the main urban administrative area and political center of Suining County in China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suicheng Subdistrict Target entity description: Suicheng Subdistrict is the main urban administrative area and political center of Suining County in China.
-
A.
Peicheng Subdistrict
Peicheng Subdistrict is the main urban administrative center of Pei County in Jiangsu Province, China.
-
B.
Wangchengpo Subdistrict
Wangchengpo Subdistrict is an urban administrative subdistrict in Changsha, Hunan, China, serving as the governmental and commercial hub of Yuelu District.
-
C.
Yuanling Subdistrict
Yuanling Subdistrict is an urban administrative division located within Futian District in Shenzhen, Guangdong Province, China.
-
D.
Zhangmiao Subdistrict
Zhangmiao Subdistrict is an urban administrative division located within Baoshan District of Shanghai, China.
-
E.
Longcheng Subdistrict
Longcheng Subdistrict is an urban administrative area within Longgang District of Shenzhen, China, known for its residential communities and local commercial development.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa65a608190a1597a49751185a8 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abfd9c081909803691d3fc4f149 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62be4de888190aac94d441748d295 |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d51ab8081909c6f534051019dca |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:54 p.m.