Triple

T19302748
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Informatics and Statistics E482741 entity
Predicate countryISO 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: [Faculty of Informatics and Statistics, countryISO, CZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CZ
Context triple: [Faculty of Informatics and Statistics, countryISO, 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8add788190aed98bcbad518808 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.