Triple

T35928361
Position Surface form Disambiguated ID Type / Status
Subject SK Stalinovy závody Litvínov E1039085 entity
Predicate homeCountryNow P93388 FINISHED
Object Czech Republic 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: Czech Republic | Statement: [SK Stalinovy závody Litvínov, homeCountryNow, Czech Republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: homeCountryNow
Context triple: [SK Stalinovy závody Litvínov, homeCountryNow, Czech Republic]
  • A. mainCountry
    Indicates that one country is the primary or most significant country associated with a given entity or context.
  • B. nativeCountry
    Indicates the country in which an entity (typically a person) was born or is originally from.
  • C. homeCountryRegion chosen
    Indicates the country or broader geographic region that is considered the primary home or origin of an entity.
  • D. homeCountryBoard
    Indicates that an entity serves on the board of directors in the entity’s own home country.
  • E. countryCurrently
    Indicates that an entity is presently located in or associated with a specific country.
  • 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_69f76e23e4688190a5369138755138bf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac23d1388190bdf9628b294943bd completed May 3, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f7ab734d848190a84f9b8c3a952b75 completed May 3, 2026, 8:09 p.m.
Created at: May 3, 2026, 4:07 p.m.