Triple

T8742790
Position Surface form Disambiguated ID Type / Status
Subject Bon Scott E207543 entity
Predicate citizenship P2 FINISHED
Object Australia 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: Australia | Statement: [Bon Scott, citizenship, Australia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Australia
Context triple: [Bon Scott, citizenship, Australia]
  • 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. Aus
    Aus is a small town in southern Namibia known for its desert landscapes, World War I history, and nearby feral horses.
  • C. Australes
    Australes is the French name for the Austral Islands, a remote archipelago in French Polynesia known for its small communities and traditional Polynesian culture.
  • D. Aust
    Aust is a small village in South Gloucestershire, England, situated near the Severn Estuary and known historically for its ferry crossing and proximity to the Severn Bridge.
  • E. AUS
    AUS is the three-letter IATA airport code for Austin–Bergstrom International Airport, the primary commercial airport serving Austin, Texas.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d71619481909fc4d87af3d01432 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42e7176c819097e313ed8e8ceb06 completed April 3, 2026, 4:32 a.m.
Created at: March 30, 2026, 6:38 p.m.