Triple

T44654
Position Surface form Disambiguated ID Type / Status
Subject Australia E876 entity
Predicate internetTLD P248 FINISHED
Object .au E876 NE 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: .au | Statement: [Australia, internetTLD, .au]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: .au
Context triple: [Australia, internetTLD, .au]
  • A. Australia chosen
    Australia is a large island continent and sovereign country in the Southern Hemisphere, known for its unique wildlife, diverse landscapes, and major cities such as Sydney and Melbourne.
  • B. New South Wales
    New South Wales is a state on Australia’s east coast, centered on the city of Sydney and historically significant as the site of the first permanent British settlement on the continent.
  • C. New Zealand
    New Zealand is an island country in the southwestern Pacific Ocean known for its dramatic landscapes, indigenous Māori culture, and advanced, stable democracy.
  • D. Gold Coast
    Gold Coast is an affluent stretch of Fifth Avenue in New York City renowned for its luxury residences, historic mansions, and high-end prestige.
  • E. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae36824819080e8336a3c9f9bf8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e63a9848190a0f38b23521804e6 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.