Triple
T16513586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 六安 |
E401123
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
霍山县
霍山县是位于中国安徽省西部大别山腹地、以生态旅游和茶叶等特色农业闻名的山区县。
|
E1218410
|
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: 霍山县 | Statement: [六安, hasSubdivision, 霍山县]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 霍山县 Context triple: [六安, hasSubdivision, 霍山县]
-
A.
六安
六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
-
B.
马鞍山
马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
-
C.
竹山县
竹山县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地生态和茶叶等农业资源闻名的县级行政区。
-
D.
Gu'an County
Gu'an County is an administrative county in northern China’s Hebei Province, situated just south of Beijing and forming part of the capital’s greater metropolitan area.
-
E.
罗田天堂寨
罗田天堂寨是位于湖北省黄冈市罗田县境内、以雄奇山峰与原始森林景观著称的国家级山岳型风景旅游区。
- 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: 霍山县 Triple: [六安, hasSubdivision, 霍山县]
Generated description
霍山县是位于中国安徽省西部大别山腹地、以生态旅游和茶叶等特色农业闻名的山区县。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 霍山县 Target entity description: 霍山县是位于中国安徽省西部大别山腹地、以生态旅游和茶叶等特色农业闻名的山区县。
-
A.
六安
六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
-
B.
马鞍山
马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
-
C.
竹山县
竹山县是位于中国湖北省西北部、秦巴山脉腹地的一个以山地生态和茶叶等农业资源闻名的县级行政区。
-
D.
Gu'an County
Gu'an County is an administrative county in northern China’s Hebei Province, situated just south of Beijing and forming part of the capital’s greater metropolitan area.
-
E.
罗田天堂寨
罗田天堂寨是位于湖北省黄冈市罗田县境内、以雄奇山峰与原始森林景观著称的国家级山岳型风景旅游区。
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e78d4848190a55de9902115b1b2 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060827d988190b2c0c075a49dfde8 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a006133a9148190af5bc0cec8ad6695 |
completed | May 10, 2026, 10:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0061c85d5481909628c2fddbcf0d54 |
completed | May 10, 2026, 10:45 a.m. |
Created at: April 10, 2026, 5:14 a.m.