Triple
T16513585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 六安 |
E401123
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
金寨县
金寨县是位于中国安徽省西部、大别山腹地的一个山区县,以革命老区和红色旅游资源闻名。
|
E1218409
|
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: 金寨县 | Statement: [六安, hasSubdivision, 金寨县]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 金寨县 Context triple: [六安, hasSubdivision, 金寨县]
-
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.
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.
-
C.
Tongcheng County
Tongcheng County is a county-level administrative region under the jurisdiction of Xianning City in southeastern Hubei Province, China, known for its rural landscapes and historical sites.
-
D.
竹溪县
竹溪县 is a mountainous county in the southwest of Hubei Province, China, known for its ecological environment and location within the jurisdiction of the prefecture-level city of Shiyan.
-
E.
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。
- 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: 金寨县 Triple: [六安, hasSubdivision, 金寨县]
Generated description
金寨县是位于中国安徽省西部、大别山腹地的一个山区县,以革命老区和红色旅游资源闻名。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 金寨县 Target entity description: 金寨县是位于中国安徽省西部、大别山腹地的一个山区县,以革命老区和红色旅游资源闻名。
-
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.
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.
-
C.
Tongcheng County
Tongcheng County is a county-level administrative region under the jurisdiction of Xianning City in southeastern Hubei Province, China, known for its rural landscapes and historical sites.
-
D.
竹溪县
竹溪县 is a mountainous county in the southwest of Hubei Province, China, known for its ecological environment and location within the jurisdiction of the prefecture-level city of Shiyan.
-
E.
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。
- 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.