Triple
T7767316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rizhao |
E178981
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Donggang District
Donggang District is the central urban district and administrative seat of the coastal city of Rizhao in Shandong Province, China.
|
E687225
|
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: Donggang District | Statement: [Rizhao, hasDistrict, Donggang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donggang District Context triple: [Rizhao, hasDistrict, Donggang District]
-
A.
Dong District
Dong District is an administrative district (gu) of Incheon, a major port city in northwestern South Korea.
-
B.
Quanshan District
Quanshan District is an urban administrative district of Xuzhou in Jiangsu Province, China, known as one of the city’s central built-up areas.
-
C.
Tieshangang District
Tieshangang District is an administrative district of the coastal city of Beihai in Guangxi, China, known for its port and industrial activities.
-
D.
Dongbao District
Dongbao District is an urban administrative district under the jurisdiction of Jingmen City in Hubei Province, China, serving as the city's central area.
-
E.
Taishan District
Taishan District is an urban district of New Taipei City in northern Taiwan, known for its residential communities and educational institutions.
- 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: Donggang District Triple: [Rizhao, hasDistrict, Donggang District]
Generated description
Donggang District is the central urban district and administrative seat of the coastal city of Rizhao in Shandong Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donggang District Target entity description: Donggang District is the central urban district and administrative seat of the coastal city of Rizhao in Shandong Province, China.
-
A.
Dong District
Dong District is an administrative district (gu) of Incheon, a major port city in northwestern South Korea.
-
B.
Quanshan District
Quanshan District is an urban administrative district of Xuzhou in Jiangsu Province, China, known as one of the city’s central built-up areas.
-
C.
Tieshangang District
Tieshangang District is an administrative district of the coastal city of Beihai in Guangxi, China, known for its port and industrial activities.
-
D.
Dongbao District
Dongbao District is an urban administrative district under the jurisdiction of Jingmen City in Hubei Province, China, serving as the city's central area.
-
E.
Taishan District
Taishan District is an urban district of New Taipei City in northern Taiwan, known for its residential communities and educational institutions.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7043451bc8190a76ee066b779b7d7 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e4976c81909ff34dcdcae96999 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b75b848190a67de2040d563f86 |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c941814081909d299df5cd714c71 |
completed | March 29, 2026, 6:40 a.m. |
Created at: March 27, 2026, 4:11 p.m.