Triple
T8235533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chifeng |
E192395
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Yuanbaoshan District
Yuanbaoshan District is an urban administrative district within the city of Chifeng in Inner Mongolia, China.
|
E756195
|
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: Yuanbaoshan District | Statement: [Chifeng, hasSubdivision, Yuanbaoshan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuanbaoshan District Context triple: [Chifeng, hasSubdivision, Yuanbaoshan District]
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Yunlong District
Yunlong District is an urban administrative district and central area of Xuzhou City in Jiangsu Province, China.
-
C.
Fengnan District
Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
D.
Jiancaoping District
Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
-
E.
Yushui District
Yushui District is the central urban district and administrative seat of Xinyu, a prefecture-level city in Jiangxi Province, 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: Yuanbaoshan District Triple: [Chifeng, hasSubdivision, Yuanbaoshan District]
Generated description
Yuanbaoshan District is an urban administrative district within the city of Chifeng in Inner Mongolia, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuanbaoshan District Target entity description: Yuanbaoshan District is an urban administrative district within the city of Chifeng in Inner Mongolia, China.
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Yunlong District
Yunlong District is an urban administrative district and central area of Xuzhou City in Jiangsu Province, China.
-
C.
Fengnan District
Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
D.
Jiancaoping District
Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
-
E.
Yushui District
Yushui District is the central urban district and administrative seat of Xinyu, a prefecture-level city in Jiangxi Province, 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782931848190bcc54622f34e06a7 |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5120159881908361bf9cb81e3932 |
completed | April 3, 2026, 5:33 a.m. |
| NEDg | Description generation | batch_69cf52f0886881909ceb9fbe54f84d11 |
completed | April 3, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf53bc19fc81908f43c3fa29bae021 |
completed | April 3, 2026, 5:44 a.m. |
Created at: March 30, 2026, 5:46 p.m.