Triple

T288113
Position Surface form Disambiguated ID Type / Status
Subject CET E5929 entity
Predicate usedByCountry P715 FINISHED
Object Czech Republic E16450 NE FINISHED

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: Czech Republic | Statement: [CET, usedByCountry, Czech Republic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czech Republic
Context triple: [CET, usedByCountry, Czech Republic]
  • A. Czech Republic chosen
    The Czech Republic is a landlocked Central European country known for its historic cities like Prague, rich cultural heritage, and membership in major international organizations such as the European Union and NATO.
  • B. Slovakia
    Slovakia is a landlocked Central European country known for its mountainous landscapes, medieval castles, and membership in major international organizations such as the European Union and NATO.
  • C. Czechoslovakia
    Czechoslovakia was a Central European country that existed from 1918 to 1992, known for its interwar democracy, industrial strength, and later communist rule within the Eastern Bloc.
  • D. Bohemia
    Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
  • E. Poland
    Poland is a Central European country known for its rich medieval heritage, resilient culture, and pivotal role in 20th-century history, including being the site of the outbreak of World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a260d21e5881909f3baba8b8dfff92 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a563c01ccc8190a8b9d3ce78ff8ca5 completed March 2, 2026, 10:17 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.