Triple

T9889912
Position Surface form Disambiguated ID Type / Status
Subject State of Qin E181425 entity
Predicate conqueredState P91633 FINISHED
Object Yan
Yan was an ancient Chinese state during the Zhou dynasty era, located in the northeast and later annexed by the expanding Qin state in the late 3rd century BCE.
E827545 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: Yan | Statement: [State of Qin, conqueredState, Yan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yan
Context triple: [State of Qin, conqueredState, Yan]
  • A. Yan
    Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • B. Yun
    Yun is the Chinese given name of Jack Ma, the billionaire co-founder and former executive chairman of Alibaba Group.
  • C. S'Yan
    S'Yan is a former king of Wakanda and uncle to T'Challa in Marvel Comics' Black Panther mythos.
  • D. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • E. Yei
    Yei is a town in southwestern South Sudan that serves as a regional hub near the borders with Uganda and the Democratic Republic of the Congo.
  • 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: Yan
Triple: [State of Qin, conqueredState, Yan]
Generated description
Yan was an ancient Chinese state during the Zhou dynasty era, located in the northeast and later annexed by the expanding Qin state in the late 3rd century BCE.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yan
Target entity description: Yan was an ancient Chinese state during the Zhou dynasty era, located in the northeast and later annexed by the expanding Qin state in the late 3rd century BCE.
  • A. Yan
    Yan is a Chinese surname historically borne by various notable figures and families across different regions of China.
  • B. Yun
    Yun is the Chinese given name of Jack Ma, the billionaire co-founder and former executive chairman of Alibaba Group.
  • C. S'Yan
    S'Yan is a former king of Wakanda and uncle to T'Challa in Marvel Comics' Black Panther mythos.
  • D. Yua
    Yua is a small genus of flowering plants in the grape family Vitaceae, native to parts of East Asia.
  • E. Yei
    Yei is a town in southwestern South Sudan that serves as a regional hub near the borders with Uganda and the Democratic Republic of the Congo.
  • 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.