Triple

T9918513
Position Surface form Disambiguated ID Type / Status
Subject Emperor Wu of Han E185930 entity
Predicate eraName P2938 FINISHED
Object Yuanding
Yuanding was a regnal era of Emperor Wu of the Western Han dynasty in ancient China, used to designate a specific period of his reign.
 E829490 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: Yuanding | Statement: [Emperor Wu of Han, eraName, Yuanding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuanding
Context triple: [Emperor Wu of Han, eraName, Yuanding]
  • A. Baoying
    Baoying was a historical Chinese era name used during the reign of Emperor Daizong of the Tang dynasty.
  • B. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • C. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • D. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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: Yuanding
Triple: [Emperor Wu of Han, eraName, Yuanding]
Generated description
Yuanding was a regnal era of Emperor Wu of the Western Han dynasty in ancient China, used to designate a specific period of his reign.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuanding
Target entity description: Yuanding was a regnal era of Emperor Wu of the Western Han dynasty in ancient China, used to designate a specific period of his reign.
  • A. Baoying
    Baoying was a historical Chinese era name used during the reign of Emperor Daizong of the Tang dynasty.
  • B. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • C. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • D. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5685a908190ab3e55b9bf9613f6 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dec42848190ab9f8663155df83f completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ef343a4819093b915a66c63fbaa completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212d0ed108190bbde23439734618a completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:42 p.m.