Triple

T19641407
Position Surface form Disambiguated ID Type / Status
Subject United States–Australia relations E471547 entity
Predicate hasConsulates P102457 FINISHED
Object multiple US consulates in Australian cities 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: multiple US consulates in Australian cities | Statement: [United States–Australia relations, hasConsulates, multiple US consulates in Australian cities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConsulates
Context triple: [United States–Australia relations, hasConsulates, multiple US consulates in Australian cities]
  • A. haveConsulates chosen
    Indicates that one country maintains consular offices or consulates within the territory of another country.
  • B. hasConsulateOfUnitedStatesIn
    Indicates that a consulate of the United States is located in the specified place.
  • C. hasConsularSection
    Indicates that an entity (typically a diplomatic mission or embassy) includes or is associated with a consular section responsible for consular services.
  • D. overseesConsulatesOf
    Indicates that one entity has authority over, manages, or supervises the consulates belonging to another entity.
  • E. hasConsulateOfCroatiaIn
    Indicates that a location hosts an official consulate representing Croatia.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6412224d481909524d7654a36d49b completed April 20, 2026, 3:07 p.m.
PD Predicate disambiguation batch_69e514e5cb108190ae260e466c447314 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:44 p.m.