Triple
T13015849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanping Fortress |
E322548
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object |
Wanpingcheng
Wanpingcheng is a historic Ming Dynasty fortress town located near Beijing, China, known for its well-preserved walls and its proximity to the Marco Polo Bridge.
|
E1017583
|
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: Wanpingcheng | Statement: [Wanping Fortress, hasAlternateName, Wanpingcheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanpingcheng Context triple: [Wanping Fortress, hasAlternateName, Wanpingcheng]
-
A.
Wulou
Wulou is the traditional name for Zhenhai Tower, a historic multi-story landmark in Guangzhou, China, known for its commanding views and cultural significance.
-
B.
Licheng
Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
-
C.
Zicheng
Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
-
D.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
-
E.
Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
- 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: Wanpingcheng Triple: [Wanping Fortress, hasAlternateName, Wanpingcheng]
Generated description
Wanpingcheng is a historic Ming Dynasty fortress town located near Beijing, China, known for its well-preserved walls and its proximity to the Marco Polo Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanpingcheng Target entity description: Wanpingcheng is a historic Ming Dynasty fortress town located near Beijing, China, known for its well-preserved walls and its proximity to the Marco Polo Bridge.
-
A.
Wulou
Wulou is the traditional name for Zhenhai Tower, a historic multi-story landmark in Guangzhou, China, known for its commanding views and cultural significance.
-
B.
Licheng
Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
-
C.
Zicheng
Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
-
D.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
-
E.
Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc98e10819091d71198bca1ac12 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6ce6278e081908864fba1db23ada0 |
completed | May 3, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cf547b188190b24c51e06a3b4d3c |
completed | May 3, 2026, 4:30 a.m. |
Created at: April 9, 2026, 8:50 p.m.