Triple

T21897806
Position Surface form Disambiguated ID Type / Status
Subject UWB E540724 entity
Predicate countryCode P208 FINISHED
Object CZ NE NERFINISHED

How this triple was built (2 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 | Statement: [UWB, countryCode, CZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CZ
Context triple: [UWB, countryCode, CZ]
  • A. CZ
    CZ is a Czech firearms manufacturer renowned for producing a wide range of pistols, rifles, and submachine guns used by military, law enforcement, and civilian shooters worldwide.
  • B. CZ chosen
    CZ is the ISO country code for the Czech Republic, a Central European nation and member of the European Union.
  • C. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • D. CZ-KR
    CZ-KR is the regional code for the Hradec Králové Region in the Czech Republic.
  • E. CZ-ZL
    CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc7c70c81908b9bb4de68616e41 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.