Triple

T16583661
Position Surface form Disambiguated ID Type / Status
Subject Yixian E402898 entity
Predicate hasVillage P4011 FINISHED
Object Xidi
Xidi is a well-preserved ancient village in Anhui Province, China, renowned for its traditional Huizhou architecture and status as a UNESCO World Heritage Site.
 E1222161 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: Xidi | Statement: [Yixian, hasVillage, Xidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xidi
Context triple: [Yixian, hasVillage, Xidi]
  • A. Nanxi
    Nanxi was an early form of Chinese drama from the Song dynasty that combined music, dialogue, and dance, and is considered a foundational precursor to later Chinese operatic traditions.
  • B. Weida
    Weida is a river in eastern Germany that serves as a significant tributary of the Weiße Elster.
  • C. Xinle
    Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
  • D. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • E. Xin'an
    Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
  • 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: Xidi
Triple: [Yixian, hasVillage, Xidi]
Generated description
Xidi is a well-preserved ancient village in Anhui Province, China, renowned for its traditional Huizhou architecture and status as a UNESCO World Heritage Site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xidi
Target entity description: Xidi is a well-preserved ancient village in Anhui Province, China, renowned for its traditional Huizhou architecture and status as a UNESCO World Heritage Site.
  • A. Nanxi
    Nanxi was an early form of Chinese drama from the Song dynasty that combined music, dialogue, and dance, and is considered a foundational precursor to later Chinese operatic traditions.
  • B. Weida
    Weida is a river in eastern Germany that serves as a significant tributary of the Weiße Elster.
  • C. Xinle
    Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
  • D. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • E. Xin'an
    Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35999f80c8190852fd4137bc45a80 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007597905881909df7dc49961b6a02 completed May 10, 2026, 12:09 p.m.
NEDg Description generation batch_6a00766f057c8190a9929063525893d7 completed May 10, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_6a0076d825ac81909647fb82b4a6914e completed May 10, 2026, 12:15 p.m.
Created at: April 10, 2026, 5:16 a.m.