Triple

T8295187
Position Surface form Disambiguated ID Type / Status
Subject Liao dynasty E194197 entity
Predicate capital P234 FINISHED
Object Shangjing
Shangjing was the principal imperial capital city of the Khitan-led Liao dynasty in what is now northeastern China.
 E723611 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: Shangjing | Statement: [Liao dynasty, capital, Shangjing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shangjing
Context triple: [Liao dynasty, capital, Shangjing]
  • A. Shangjing
    Shangjing was the principal early capital city of China’s Jurchen-led Jin dynasty, serving as a key political and administrative center in northeastern China.
  • B. Haojing
    Haojing was the primary western capital city of the early Zhou dynasty in ancient China, located near present-day Xi’an.
  • C. Xintai
    Xintai is a county-level city in Shandong Province, China, administered by the prefecture-level city of Tai'an.
  • D. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • E. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • 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: Shangjing
Triple: [Liao dynasty, capital, Shangjing]
Generated description
Shangjing was the principal imperial capital city of the Khitan-led Liao dynasty in what is now northeastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shangjing
Target entity description: Shangjing was the principal imperial capital city of the Khitan-led Liao dynasty in what is now northeastern China.
  • A. Shangjing
    Shangjing was the principal early capital city of China’s Jurchen-led Jin dynasty, serving as a key political and administrative center in northeastern China.
  • B. Haojing
    Haojing was the primary western capital city of the early Zhou dynasty in ancient China, located near present-day Xi’an.
  • C. Xintai
    Xintai is a county-level city in Shandong Province, China, administered by the prefecture-level city of Tai'an.
  • D. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • E. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df73d4c81909ad9cf0786eb5a20 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68a3258481908fe04fed1d00c9ba completed April 1, 2026, 6:49 p.m.
NEDg Description generation batch_69cd6d567c3c81908a7ec5bc13be529d completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e3e2f848190a22ad8739bb8e298 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.