Triple

T20087725
Position Surface form Disambiguated ID Type / Status
Subject State Prize for Architecture of Czechoslovakia E496179 entity
Predicate formerCountryContext P36882 FINISHED
Object former Czechoslovakia LITERAL 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: former Czechoslovakia | Statement: [State Prize for Architecture of Czechoslovakia, formerCountryContext, former Czechoslovakia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerCountryContext
Context triple: [State Prize for Architecture of Czechoslovakia, formerCountryContext, former Czechoslovakia]
  • A. formerCountry
    Indicates that an entity was previously recognized as a country but no longer holds that status.
  • B. formationCountry
    Indicates the country in which an entity (such as an organization, company, or group) was originally formed or established.
  • C. formerlyCountry
    Indicates that an entity was previously recognized as a country but no longer holds that status.
  • D. formerGoverningCountry
    Indicates that one country previously held governing or colonial authority over another country or territory.
  • E. hasFormerCountry chosen
    Indicates that an entity was previously part of, or belonged to, a country that no longer exists in its former political form.
  • F. None of above.

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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655c7de081909a400c736e92495d completed April 20, 2026, 5:41 p.m.
PD Predicate disambiguation batch_69e54cf369b88190931532420517dac7 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:13 p.m.