Triple

T18947018
Position Surface form Disambiguated ID Type / Status
Subject Austria and Czech Republic E463539 entity
Predicate hasEmbassyInEachOther P12096 FINISHED
Object true 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: true | Statement: [Austria and Czech Republic, hasEmbassyInEachOther, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEmbassyInEachOther
Context triple: [Austria and Czech Republic, hasEmbassyInEachOther, true]
  • A. hasDiplomaticMission chosen
    Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
  • B. diplomaticRelation
    Indicates a formal relationship of negotiation, communication, or representation between political entities, typically states or governments.
  • C. diplomaticRelationBetween
    Indicates the existence of a formal diplomatic relationship or ties between two political entities or states.
  • D. hasConsulateOfUnitedStatesIn
    Indicates that a consulate of the United States is located in the specified place.
  • E. haveConsulates
    Indicates that one country maintains consular offices or consulates within the territory of another 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5402ad881908add559249278895 completed April 20, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69e4a2efec5c8190840704016bf547a1 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 11:59 a.m.