Triple

T5046033
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom and France E113665 entity
Predicate haveEmbassiesInEachOther 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: [United Kingdom and France, haveEmbassiesInEachOther, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveEmbassiesInEachOther
Context triple: [United Kingdom and France, haveEmbassiesInEachOther, 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. diplomaticAssociation
    Indicates a formal diplomatic relationship or affiliation that exists or is established between two or more entities.
  • E. receivesDiplomaticAccreditationFrom
    Indicates that an entity is formally recognized and accepted in an official diplomatic capacity by another entity that grants the accreditation.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fe99688190961708f5d8eb6bff completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd71529d608190a53470ba6c14bb1d completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:37 p.m.