Triple

T14002516
Position Surface form Disambiguated ID Type / Status
Subject Jinzhong E336863 entity
Predicate hasSubdivision P747 FINISHED
Object Jiexiu
Jiexiu is a county-level city in central Shanxi Province, China, known for its historical sites and role as an industrial and transportation hub within the Jinzhong region.
 E1073805 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: Jiexiu | Statement: [Jinzhong, hasSubdivision, Jiexiu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jiexiu
Context triple: [Jinzhong, hasSubdivision, Jiexiu]
  • A. Jianchu
    Jianchu was a named regnal era during the reign of Emperor Zhang of the Eastern Han dynasty in ancient China.
  • B. Jianyan
    Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
  • C. Jieshou
    Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • D. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Jianzhong
    Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
  • 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: Jiexiu
Triple: [Jinzhong, hasSubdivision, Jiexiu]
Generated description
Jiexiu is a county-level city in central Shanxi Province, China, known for its historical sites and role as an industrial and transportation hub within the Jinzhong region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jiexiu
Target entity description: Jiexiu is a county-level city in central Shanxi Province, China, known for its historical sites and role as an industrial and transportation hub within the Jinzhong region.
  • A. Jianchu
    Jianchu was a named regnal era during the reign of Emperor Zhang of the Eastern Han dynasty in ancient China.
  • B. Jianyan
    Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
  • C. Jieshou
    Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • D. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Jianzhong
    Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca180988190bbfc93bd708688d6 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae8f83f481909ac16d4bb66ea79d completed May 6, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf702c94819095347e2599ae9931 completed May 6, 2026, 9:15 p.m.
Created at: April 9, 2026, 10:19 p.m.