Triple

T21368919
Position Surface form Disambiguated ID Type / Status
Subject canton of Zug E526997 entity
Predicate ISO3166-2 P189 FINISHED
Object CH-ZG
CH-ZG is the ISO 3166-2 code representing the Swiss canton of Zug.
 E1479985 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: CH-ZG | Statement: [canton of Zug, ISO3166-2, CH-ZG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CH-ZG
Context triple: [canton of Zug, ISO3166-2, CH-ZG]
  • A. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • B. ZGZH
    ZGZH is the ICAO airport code for Liuzhou Bailian Airport in Liuzhou, Guangxi, China.
  • C. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • D. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • E. HSZG
    HSZG is a German University of Applied Sciences located in the twin cities of Zittau and Görlitz, offering practice-oriented higher education and research programs.
  • 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: CH-ZG
Triple: [canton of Zug, ISO3166-2, CH-ZG]
Generated description
CH-ZG is the ISO 3166-2 code representing the Swiss canton of Zug.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CH-ZG
Target entity description: CH-ZG is the ISO 3166-2 code representing the Swiss canton of Zug.
  • A. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • B. ZGZH
    ZGZH is the ICAO airport code for Liuzhou Bailian Airport in Liuzhou, Guangxi, China.
  • C. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • D. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • E. HSZG
    HSZG is a German University of Applied Sciences located in the twin cities of Zittau and Görlitz, offering practice-oriented higher education and research programs.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5baf5fb4819093f8d8afdd83ffdb completed April 26, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad6e67c88190b8152ce0bcd77f1c completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09ae6c7ce481908021fecbc181bb93 completed May 17, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_6a09aedbc2dc8190914e279d6425fa50 completed May 17, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:09 p.m.