Triple
T11207005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiujiang |
E265194
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Lushan District
Lushan District is an administrative district of Jiujiang in Jiangxi Province, China, known for encompassing the scenic and historically significant Mount Lu (Lushan).
|
E926872
|
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: Lushan District | Statement: [Jiujiang, hasSubdivision, Lushan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lushan District Context triple: [Jiujiang, hasSubdivision, Lushan District]
-
A.
Chengxi District
Chengxi District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
B.
Louxing District
Louxing District is the central urban district and administrative seat of Loudi City in Hunan Province, China.
-
C.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
-
D.
Dongchangfu District
Dongchangfu District is the central urban district and administrative seat of Liaocheng in Shandong Province, China.
-
E.
Yicheng District
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
- 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: Lushan District Triple: [Jiujiang, hasSubdivision, Lushan District]
Generated description
Lushan District is an administrative district of Jiujiang in Jiangxi Province, China, known for encompassing the scenic and historically significant Mount Lu (Lushan).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lushan District Target entity description: Lushan District is an administrative district of Jiujiang in Jiangxi Province, China, known for encompassing the scenic and historically significant Mount Lu (Lushan).
-
A.
Chengxi District
Chengxi District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
B.
Louxing District
Louxing District is the central urban district and administrative seat of Loudi City in Hunan Province, China.
-
C.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
-
D.
Dongchangfu District
Dongchangfu District is the central urban district and administrative seat of Liaocheng in Shandong Province, China.
-
E.
Yicheng District
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d4eef88190a7f05bca82d919b9 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8a4322c8190a30e460892123579 |
completed | April 20, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:30 p.m.