Triple

T5925529
Position Surface form Disambiguated ID Type / Status
Subject Kaifeng E131801 entity
Predicate historicalName P65 FINISHED
Object Bianliang
Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
 E557280 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: Bianliang | Statement: [Kaifeng, historicalName, Bianliang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bianliang
Context triple: [Kaifeng, historicalName, Bianliang]
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • E. 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.
  • 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: Bianliang
Triple: [Kaifeng, historicalName, Bianliang]
Generated description
Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bianliang
Target entity description: Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • E. 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.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03852806c81908ba726c16adf3358 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c04e5af8819095f15cfbc1f13c46 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c23cc6d081909ce27bfb6a6f33d4 completed March 23, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c0c2deec7c81909d9949cb28f0211f completed March 23, 2026, 4:34 a.m.
Created at: March 22, 2026, 4 p.m.