Triple
T16138242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhongdu |
E391585
|
entity |
| Predicate | chineseName |
P4878
|
FINISHED |
| Object |
中都
中都是中国历史上多座王朝曾经设立的都城名称之一,常用于指代金朝的首都(今北京一带)。
|
E1195497
|
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: 中都 | Statement: [Zhongdu, chineseName, 中都]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 中都 Context triple: [Zhongdu, chineseName, 中都]
-
A.
Shenmu City
Shenmu City is a county-level city in northern Shaanxi Province, China, known for its rich coal resources and location on the Loess Plateau near the border with Inner Mongolia.
-
B.
名城
名城 is the Japanese name for Meijō, commonly associated with Meijo University and the surrounding Meijō area in Nagoya, Japan.
-
C.
Shangdu
Shangdu was the summer capital of Kublai Khan’s Yuan dynasty in China, later immortalized in Western literature as the fabled city of Xanadu.
-
D.
Qian'an City
Qian'an City is a county-level city administered by Tangshan in Hebei Province, northern China, known for its industrial development and proximity to the Bohai Sea.
-
E.
Lugouqiao town
Lugouqiao town is a locality in the Fengtai District of Beijing, China, historically significant for its proximity to the Lugou Bridge, the site of the Marco Polo Bridge Incident that marked the start of full-scale war between China and Japan in 1937.
- 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: 中都 Triple: [Zhongdu, chineseName, 中都]
Generated description
中都是中国历史上多座王朝曾经设立的都城名称之一,常用于指代金朝的首都(今北京一带)。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 中都 Target entity description: 中都是中国历史上多座王朝曾经设立的都城名称之一,常用于指代金朝的首都(今北京一带)。
-
A.
Shenmu City
Shenmu City is a county-level city in northern Shaanxi Province, China, known for its rich coal resources and location on the Loess Plateau near the border with Inner Mongolia.
-
B.
名城
名城 is the Japanese name for Meijō, commonly associated with Meijo University and the surrounding Meijō area in Nagoya, Japan.
-
C.
Shangdu
Shangdu was the summer capital of Kublai Khan’s Yuan dynasty in China, later immortalized in Western literature as the fabled city of Xanadu.
-
D.
Qian'an City
Qian'an City is a county-level city administered by Tangshan in Hebei Province, northern China, known for its industrial development and proximity to the Bohai Sea.
-
E.
Lugouqiao town
Lugouqiao town is a locality in the Fengtai District of Beijing, China, historically significant for its proximity to the Lugou Bridge, the site of the Marco Polo Bridge Incident that marked the start of full-scale war between China and Japan in 1937.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a05e68881908319454a478cdda5 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b574148190b9d5b725d7d113af |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3478bfc8190bbcc0afbf6dbb089 |
completed | May 10, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff3d29f50819093a9355d016f48dd |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 10, 2026, 5:01 a.m.