Triple

T10062661
Position Surface form Disambiguated ID Type / Status
Subject Emperor Gaozong of Tang E213024 entity
Predicate eraName P2938 FINISHED
Object Xianqing
Xianqing was a regnal era of the Tang dynasty under Emperor Gaozong, marking a specific period of his reign used for dating official documents and events.
 E843158 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: Xianqing | Statement: [Emperor Gaozong of Tang, eraName, Xianqing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xianqing
Context triple: [Emperor Gaozong of Tang, eraName, Xianqing]
  • A. Yongxi
    Yongxi was an era name used during the reign of Emperor Taizong of the Song dynasty in imperial China.
  • B. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • C. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • D. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • E. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • 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: Xianqing
Triple: [Emperor Gaozong of Tang, eraName, Xianqing]
Generated description
Xianqing was a regnal era of the Tang dynasty under Emperor Gaozong, marking a specific period of his reign used for dating official documents and events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xianqing
Target entity description: Xianqing was a regnal era of the Tang dynasty under Emperor Gaozong, marking a specific period of his reign used for dating official documents and events.
  • A. Yongxi
    Yongxi was an era name used during the reign of Emperor Taizong of the Song dynasty in imperial China.
  • B. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • C. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • D. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • E. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd3c6bc8190a21ed3566f9c08d1 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5676eac81909d50bfa7633b6ebe completed April 5, 2026, 10:42 p.m.
NEDg Description generation batch_69d2e73e4d5081909f0068d3bed583d3 completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7eea4d88190a2ec6d22a83934b3 completed April 5, 2026, 10:53 p.m.
Created at: March 30, 2026, 8:58 p.m.