Triple

T1860763
Position Surface form Disambiguated ID Type / Status
Subject Tang dynasty E34804 entity
Predicate taxSystem P252 FINISHED
Object zu-yong-diao system
The zu-yong-diao system was an early Tang dynasty fiscal and corvée framework that combined land-based household taxes, labor service, and in-kind payments to support the imperial state.
E208899 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: zu-yong-diao system | Statement: [Tang dynasty, taxSystem, zu-yong-diao system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: zu-yong-diao system
Context triple: [Tang dynasty, taxSystem, zu-yong-diao system]
  • A. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • B. YQT
    YQT is the IATA airport code for Thunder Bay International Airport, a regional air transport hub in Thunder Bay, Ontario, Canada.
  • C. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • D. YSB
    YSB is the IATA airport code for Greater Sudbury Airport in Ontario, Canada.
  • E. Control Yuan
    The Control Yuan is one of the five branches of government in the Republic of China (Taiwan), responsible for oversight, auditing, and impeachment of public officials.
  • 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: zu-yong-diao system
Triple: [Tang dynasty, taxSystem, zu-yong-diao system]
Generated description
The zu-yong-diao system was an early Tang dynasty fiscal and corvée framework that combined land-based household taxes, labor service, and in-kind payments to support the imperial state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: zu-yong-diao system
Target entity description: The zu-yong-diao system was an early Tang dynasty fiscal and corvée framework that combined land-based household taxes, labor service, and in-kind payments to support the imperial state.
  • A. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • B. YQT
    YQT is the IATA airport code for Thunder Bay International Airport, a regional air transport hub in Thunder Bay, Ontario, Canada.
  • C. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • D. YSB
    YSB is the IATA airport code for Greater Sudbury Airport in Ontario, Canada.
  • E. Control Yuan
    The Control Yuan is one of the five branches of government in the Republic of China (Taiwan), responsible for oversight, auditing, and impeachment of public officials.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09caee881908efe8aa38471298c completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1ce296c819093336cbaa257dfd2 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add229de448190826bbb668c7611a0 completed March 8, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69add29e3c50819098ff87d254c25c45 completed March 8, 2026, 7:48 p.m.
Created at: March 4, 2026, 7:34 p.m.