Triple

T10174313
Position Surface form Disambiguated ID Type / Status
Subject Emperor Xizong of Tang E235811 entity
Predicate eraName P2938 FINISHED
Object Zhonghe
Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
 E846689 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: Zhonghe | Statement: [Emperor Xizong of Tang, eraName, Zhonghe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhonghe
Context triple: [Emperor Xizong of Tang, eraName, Zhonghe]
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • C. Wenzhong
    Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Zhuanghe
    Zhuanghe is a county-level coastal city administered by Dalian in Liaoning Province, northeastern China, known for its agriculture, fishing, and scenic landscapes.
  • 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: Zhonghe
Triple: [Emperor Xizong of Tang, eraName, Zhonghe]
Generated description
Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhonghe
Target entity description: Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • C. Wenzhong
    Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Zhuanghe
    Zhuanghe is a county-level coastal city administered by Dalian in Liaoning Province, northeastern China, known for its agriculture, fishing, and scenic landscapes.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3178844c48190af952ac30a4d6d97 completed April 6, 2026, 2:16 a.m.
NEDg Description generation batch_69d318fbb3048190acdb28f18c5a215a completed April 6, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_69d319687fac81909f8174ebfc84e737 completed April 6, 2026, 2:24 a.m.
Created at: March 30, 2026, 9:11 p.m.