Triple

T29554206
Position Surface form Disambiguated ID Type / Status
Subject Australia and Indonesia E749860 entity
Predicate haveConsulatesOfAustraliaIn P167021 FINISHED
Object Bali 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: Bali | Statement: [Australia and Indonesia, haveConsulatesOfAustraliaIn, Bali]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveConsulatesOfAustraliaIn
Context triple: [Australia and Indonesia, haveConsulatesOfAustraliaIn, Bali]
  • A. haveConsulates
    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. hasConsulateOfCroatiaIn
    Indicates that a location hosts an official consulate representing Croatia.
  • D. hasConsularSection
    Indicates that an entity (typically a diplomatic mission or embassy) includes or is associated with a consular section responsible for consular services.
  • E. overseesConsulatesOf
    Indicates that one entity has authority over, manages, or supervises the consulates belonging to 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_69f0bd4919e48190942b2a13d5b97d03 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66cf946f881909d177507a28a657b completed May 2, 2026, 9:30 p.m.
PD Predicate disambiguation batch_69f6633ac8a88190ab0cda62bbfcf9b0 completed May 2, 2026, 8:48 p.m.
PDg Predicate description generation batch_69f6642e676c8190af0e6b1416eed6d2 completed May 2, 2026, 8:53 p.m.
Created at: April 28, 2026, 5:14 p.m.