Triple

T9162955
Position Surface form Disambiguated ID Type / Status
Subject Olomouc Region E219870 entity
Predicate NUTSCode P2415 FINISHED
Object CZ071
CZ071 is the NUTS (Nomenclature of Territorial Units for Statistics) regional code assigned to the Olomouc Region in the Czech Republic.
 E782858 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: CZ071 | Statement: [Olomouc Region, NUTSCode, CZ071]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CZ071
Context triple: [Olomouc Region, NUTSCode, CZ071]
  • A. CZ-ZL
    CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
  • B. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • C. CZM
    CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
  • D. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • E. ZCW
    ZCW is the three-letter station code used to identify Canary Wharf tube station on the London Underground network.
  • 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: CZ071
Triple: [Olomouc Region, NUTSCode, CZ071]
Generated description
CZ071 is the NUTS (Nomenclature of Territorial Units for Statistics) regional code assigned to the Olomouc Region in the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CZ071
Target entity description: CZ071 is the NUTS (Nomenclature of Territorial Units for Statistics) regional code assigned to the Olomouc Region in the Czech Republic.
  • A. CZ-ZL
    CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
  • B. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • C. CZM
    CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
  • D. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • E. ZCW
    ZCW is the three-letter station code used to identify Canary Wharf tube station on the London Underground network.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2d6628819084ac4734650fe912 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547df750819095853f21cf740c63 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0554fda40819083ef2d13d6fba905 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d055ca4fc08190b30e1b31ded51189 completed April 4, 2026, 12:05 a.m.
Created at: March 30, 2026, 7:21 p.m.