Triple
T14189031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maoming |
E351658
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Huazhou
Huazhou is a county-level city administered by Maoming in Guangdong Province, China, known for its agricultural production and regional commerce.
|
E1085083
|
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: Huazhou | Statement: [Maoming, hasSubdivision, Huazhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huazhou Context triple: [Maoming, hasSubdivision, Huazhou]
-
A.
Zhongdu
Zhongdu was the historical capital city of the Jurchen-led Jin dynasty in northern China, located in what is now part of modern Beijing.
-
B.
Zhongshan
Zhongshan is a prefecture-level city in Guangdong Province, southern China, known for its manufacturing industry and as the birthplace of revolutionary leader Sun Yat-sen.
-
C.
Huai-an
Huai-an is an older romanized spelling of Huaian, a prefecture-level city in Jiangsu Province, China, known for its historical significance and canal-based waterways.
-
D.
Huguang
Huguang was a historical administrative region of imperial China that roughly encompassed the areas of modern Hubei and Hunan provinces.
-
E.
Hangtou
Hangtou is a town in Shanghai, China, known as the southern terminus of the Shanghai Metro’s Line 18.
- 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: Huazhou Triple: [Maoming, hasSubdivision, Huazhou]
Generated description
Huazhou is a county-level city administered by Maoming in Guangdong Province, China, known for its agricultural production and regional commerce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huazhou Target entity description: Huazhou is a county-level city administered by Maoming in Guangdong Province, China, known for its agricultural production and regional commerce.
-
A.
Zhongdu
Zhongdu was the historical capital city of the Jurchen-led Jin dynasty in northern China, located in what is now part of modern Beijing.
-
B.
Zhongshan
Zhongshan is a prefecture-level city in Guangdong Province, southern China, known for its manufacturing industry and as the birthplace of revolutionary leader Sun Yat-sen.
-
C.
Huai-an
Huai-an is an older romanized spelling of Huaian, a prefecture-level city in Jiangsu Province, China, known for its historical significance and canal-based waterways.
-
D.
Huguang
Huguang was a historical administrative region of imperial China that roughly encompassed the areas of modern Hubei and Hunan provinces.
-
E.
Hangtou
Hangtou is a town in Shanghai, China, known as the southern terminus of the Shanghai Metro’s Line 18.
- 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_69fd194543f081909cb11cf0881afa90 |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1b2ace9c8190a7458e5c43a3c3d6 |
completed | May 7, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1c61b994819081dcc92ae33772ed |
completed | May 7, 2026, 11:12 p.m. |
Created at: April 10, 2026, 1:03 a.m.