Triple

T6079031
Position Surface form Disambiguated ID Type / Status
Subject Zlín Region E135475 entity
Predicate ISO3166-2 P189 FINISHED
Object CZ-ZL
CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
 E565962 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: CZ-ZL | Statement: [Zlín Region, ISO3166-2, CZ-ZL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CZ-ZL
Context triple: [Zlín Region, ISO3166-2, CZ-ZL]
  • A. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • B. ZCW
    ZCW is the three-letter station code used to identify Canary Wharf tube station on the London Underground network.
  • C. 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.
  • D. CZ P-07
    The CZ P-07 is a modern Czech-made polymer-framed semi-automatic pistol widely used by military and law enforcement forces.
  • E. CZM
    CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
  • 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: CZ-ZL
Triple: [Zlín Region, ISO3166-2, CZ-ZL]
Generated description
CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CZ-ZL
Target entity description: CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
  • A. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • B. ZCW
    ZCW is the three-letter station code used to identify Canary Wharf tube station on the London Underground network.
  • C. 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.
  • D. CZ P-07
    The CZ P-07 is a modern Czech-made polymer-framed semi-automatic pistol widely used by military and law enforcement forces.
  • E. CZM
    CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0577209b88190afe5b1365cf6436d completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d4dc7ec8190baeede11ac27e229 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dc2becc8190991c444357755dec completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11ed987e08190bf7065d04d9c3a0c completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.