Triple
T14189032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maoming |
E351658
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Xinyi
Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
|
E1134602
|
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: Xinyi | Statement: [Maoming, hasSubdivision, Xinyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xinyi Context triple: [Maoming, hasSubdivision, Xinyi]
-
A.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
B.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
C.
Xinyu
Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
-
D.
Chungshan
Chungshan is an older romanization of Zhongshan, a major city in Guangdong Province, China, named in honor of Sun Yat-sen.
-
E.
Nantou
Nantou is a historic subdistrict in Shenzhen’s Nanshan District, known as the site of the old county seat and a preserved ancient town area.
- 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: Xinyi Triple: [Maoming, hasSubdivision, Xinyi]
Generated description
Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xinyi Target entity description: Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
-
A.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
B.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
C.
Xinyu
Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
-
D.
Chungshan
Chungshan is an older romanization of Zhongshan, a major city in Guangdong Province, China, named in honor of Sun Yat-sen.
-
E.
Nantou
Nantou is a historic subdistrict in Shenzhen’s Nanshan District, known as the site of the old county seat and a preserved ancient town area.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61de509881908967ef5031f2a8d9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea59d27bc81908ace0b7db9f57215 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea66a04988190b483210c1671d287 |
completed | May 9, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea70e2fbc81908f168925b06bdbd6 |
completed | May 9, 2026, 3:16 a.m. |
Created at: April 10, 2026, 1:03 a.m.