Triple
T14084788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor-General of Liangguang |
E338962
|
entity |
| Predicate | officeHeldBy |
P537
|
FINISHED |
| Object |
Xiliang
Xiliang was a late Qing dynasty official who served as a prominent provincial governor-general and played a key role in the empire’s final reform and defense efforts.
|
E1084798
|
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: Xiliang | Statement: [Governor-General of Liangguang, officeHeldBy, Xiliang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiliang Context triple: [Governor-General of Liangguang, officeHeldBy, Xiliang]
-
A.
Linxiang
Linxiang is a county-level city administered by Yueyang in Hunan Province, China, known for its location near the Yangtze River and its regional agricultural and industrial activities.
-
B.
Yuxiang
Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
-
C.
Yuanxing
Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
-
D.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
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: Xiliang Triple: [Governor-General of Liangguang, officeHeldBy, Xiliang]
Generated description
Xiliang was a late Qing dynasty official who served as a prominent provincial governor-general and played a key role in the empire’s final reform and defense efforts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiliang Target entity description: Xiliang was a late Qing dynasty official who served as a prominent provincial governor-general and played a key role in the empire’s final reform and defense efforts.
-
A.
Linxiang
Linxiang is a county-level city administered by Yueyang in Hunan Province, China, known for its location near the Yangtze River and its regional agricultural and industrial activities.
-
B.
Yuxiang
Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
-
C.
Yuanxing
Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
-
D.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1930da6481908d17adc6f7bbedd4 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd19e4d374819084f01e17052428a2 |
completed | May 7, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1ab75e8c819091ebc3b4bc16f2cb |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 9, 2026, 10:21 p.m.