Triple

T10057108
Position Surface form Disambiguated ID Type / Status
Subject Later Liang E208889 entity
Predicate notableCity P2813 FINISHED
Object Bianzhou
Bianzhou was an important administrative and strategic city during China’s Later Liang dynasty in the Five Dynasties period.
 E838663 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: Bianzhou | Statement: [Later Liang, notableCity, Bianzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bianzhou
Context triple: [Later Liang, notableCity, Bianzhou]
  • A. Yanzhou
    Yanzhou is an ancient historical region in what is now western Shandong, China, known as one of the traditional Nine Provinces of early Chinese civilization.
  • B. Zhucheng
    Zhucheng is a county-level city in eastern Shandong Province, China, known for its rich dinosaur fossil discoveries and historical significance.
  • C. Bozhou
    Bozhou is a historic city in northern Anhui Province, China, known as a major center of traditional Chinese medicine and ancient culture.
  • D. Taierzhuang
    Taierzhuang is a historic town in eastern China’s Shandong province, best known as the site of a major Chinese victory over Japanese forces during the Second Sino-Japanese War.
  • E. Shangqiu
    Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
  • 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: Bianzhou
Triple: [Later Liang, notableCity, Bianzhou]
Generated description
Bianzhou was an important administrative and strategic city during China’s Later Liang dynasty in the Five Dynasties period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bianzhou
Target entity description: Bianzhou was an important administrative and strategic city during China’s Later Liang dynasty in the Five Dynasties period.
  • A. Yanzhou
    Yanzhou is an ancient historical region in what is now western Shandong, China, known as one of the traditional Nine Provinces of early Chinese civilization.
  • B. Zhucheng
    Zhucheng is a county-level city in eastern Shandong Province, China, known for its rich dinosaur fossil discoveries and historical significance.
  • C. Bozhou
    Bozhou is a historic city in northern Anhui Province, China, known as a major center of traditional Chinese medicine and ancient culture.
  • D. Taierzhuang
    Taierzhuang is a historic town in eastern China’s Shandong province, best known as the site of a major Chinese victory over Japanese forces during the Second Sino-Japanese War.
  • E. Shangqiu
    Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfae503881909b9f016da4e2207d completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a5258788190a4ecdefa5b520609 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:57 p.m.