Triple

T9889873
Position Surface form Disambiguated ID Type / Status
Subject State of Qin E181425 entity
Predicate capital P234 FINISHED
Object Yong
Yong was an ancient Chinese city that served as the political and administrative center of the Qin state during the Warring States period.
E827541 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: Yong | Statement: [State of Qin, capital, Yong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yong
Context triple: [State of Qin, capital, Yong]
  • A. Yong
    Yong is a variant transliteration of the Chinese surname and given name commonly romanized as Yang.
  • B. Yong
    Yong was the personal name of King Wuling of Zhao, a reformist ruler of the Warring States period in ancient China known for adopting nomadic military tactics and attire.
  • C. Yunghui
    Yunghui was the final era name of the Korean Empire, marking its last years before annexation by Japan in the early 20th century.
  • D. Yu
    Yu was the personal name of Emperor Daizong, a ruler of China's Tang dynasty in the 8th century.
  • E. Youn
    Youn is a Korean family name most prominently associated with acclaimed actress Youn Yuh-jung.
  • 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: Yong
Triple: [State of Qin, capital, Yong]
Generated description
Yong was an ancient Chinese city that served as the political and administrative center of the Qin state during the Warring States period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yong
Target entity description: Yong was an ancient Chinese city that served as the political and administrative center of the Qin state during the Warring States period.
  • A. Yong
    Yong is a variant transliteration of the Chinese surname and given name commonly romanized as Yang.
  • B. Yong
    Yong was the personal name of King Wuling of Zhao, a reformist ruler of the Warring States period in ancient China known for adopting nomadic military tactics and attire.
  • C. Yunghui
    Yunghui was the final era name of the Korean Empire, marking its last years before annexation by Japan in the early 20th century.
  • D. Yu
    Yu was the personal name of Emperor Daizong, a ruler of China's Tang dynasty in the 8th century.
  • E. Youn
    Youn is a Korean family name most prominently associated with acclaimed actress Youn Yuh-jung.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb08075c81908e017df8048daba8 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1eca8703c8190a473fdafa2a2d273 completed April 5, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed2a1318819087a5b787724fa10c completed April 5, 2026, 5:03 a.m.
Created at: March 30, 2026, 8:39 p.m.