Triple

T3572595
Position Surface form Disambiguated ID Type / Status
Subject Olivia Newton-John E75608 entity
Predicate residence P75 FINISHED
Object Melbourne, Australia E4488 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: Melbourne, Australia | Statement: [Olivia Newton-John, residence, Melbourne, Australia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melbourne, Australia
Context triple: [Olivia Newton-John, residence, Melbourne, Australia]
  • A. Melbourne
    Melbourne is a historic market town in Derbyshire, England, known for its Georgian architecture and the notable Melbourne Hall and gardens.
  • B. Melbourne chosen
    Melbourne is a major Australian city known for its vibrant arts scene, diverse culture, and status as a leading center for sports and education.
  • C. Sydney
    Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
  • D. Victoria (Australia)
    Victoria is a southeastern Australian state known for its capital city Melbourne, diverse coastal landscapes, and significant cultural and economic influence within the country.
  • E. Melbourn
    Melbourn is a village and civil parish in South Cambridgeshire, England, known for its historic architecture and rural community character.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c447fc81909689259558187af4 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4d974f081909c98ddaf55aab8cc completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:21 p.m.