Triple
T13262105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shijingshan District |
E315823
|
entity |
| Predicate | chineseName |
P4878
|
FINISHED |
| Object |
石景山区
石景山区 is an urban district in western Beijing, China, known for its industrial heritage, mountainous scenery, and attractions such as Shijingshan Amusement Park.
|
E1030702
|
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: 石景山区 | Statement: [Shijingshan District, chineseName, 石景山区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 石景山区 Context triple: [Shijingshan District, chineseName, 石景山区]
-
A.
西城区
西城区是中国北京市中心的一个重要城区,以其丰富的历史文化遗产和众多政府机关、金融机构的集中分布而著称。
-
B.
Yanqing District
Yanqing District is a mountainous suburban district of Beijing, China, known for hosting alpine skiing and sliding events during the 2022 Winter Olympics.
-
C.
Daxing District
Daxing District is a rapidly developing suburban district in southern Beijing, China, known for hosting the major Beijing Daxing International Airport and large-scale urban expansion.
-
D.
Changping District
Changping District is a suburban district in the northern part of Beijing, China, known for its historical sites and scenic mountainous landscapes.
-
E.
Gia Lâm District
Gia Lâm District is an administrative district on the eastern outskirts of Hanoi, Vietnam, known for its mix of rapidly urbanizing areas and traditional rural communities.
- 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: 石景山区 Triple: [Shijingshan District, chineseName, 石景山区]
Generated description
石景山区 is an urban district in western Beijing, China, known for its industrial heritage, mountainous scenery, and attractions such as Shijingshan Amusement Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 石景山区 Target entity description: 石景山区 is an urban district in western Beijing, China, known for its industrial heritage, mountainous scenery, and attractions such as Shijingshan Amusement Park.
-
A.
西城区
西城区是中国北京市中心的一个重要城区,以其丰富的历史文化遗产和众多政府机关、金融机构的集中分布而著称。
-
B.
Yanqing District
Yanqing District is a mountainous suburban district of Beijing, China, known for hosting alpine skiing and sliding events during the 2022 Winter Olympics.
-
C.
Daxing District
Daxing District is a rapidly developing suburban district in southern Beijing, China, known for hosting the major Beijing Daxing International Airport and large-scale urban expansion.
-
D.
Changping District
Changping District is a suburban district in the northern part of Beijing, China, known for its historical sites and scenic mountainous landscapes.
-
E.
Gia Lâm District
Gia Lâm District is an administrative district on the eastern outskirts of Hanoi, Vietnam, known for its mix of rapidly urbanizing areas and traditional rural communities.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901b380881909e6520fbb6811084 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b5dbcc4819081b5ba410e319eb7 |
completed | May 3, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c4c6f908190b2ebc2a90b049e59 |
completed | May 3, 2026, 8:50 a.m. |
Created at: April 9, 2026, 9:25 p.m.