Triple

T11955305
Position Surface form Disambiguated ID Type / Status
Subject Romania and Ukraine E284535 entity
Predicate haveConsulates P102457 FINISHED
Object yes 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: yes | Statement: [Romania and Ukraine, haveConsulates, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveConsulates
Context triple: [Romania and Ukraine, haveConsulates, yes]
  • A. hasConsulateOfUnitedStatesIn
    Indicates that a consulate of the United States is located in the specified place.
  • B. hasConsularSection
    Indicates that an entity (typically a diplomatic mission or embassy) includes or is associated with a consular section responsible for consular services.
  • C. overseesConsulatesOf
    Indicates that one entity has authority over, manages, or supervises the consulates belonging to another entity.
  • D. hasConsulateOfCroatiaIn
    Indicates that a location hosts an official consulate representing Croatia.
  • E. hasDiplomaticMission
    Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
  • F. None of above. chosen

Provenance (4 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69d8bb3e48e08190b2fee43af4f57323 completed April 10, 2026, 8:56 a.m.
PDg Predicate description generation batch_69d8dd0ba0f88190b7d5e358c27ca184 completed April 10, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:45 p.m.