Triple

T3987008
Position Surface form Disambiguated ID Type / Status
Subject Nadi–Sydney E86896 entity
Predicate cityB P3207 FINISHED
Object Sydney E8462 NE FINISHED

How this triple was built (3 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: Sydney | Statement: [Nadi–Sydney, cityB, Sydney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sydney
Context triple: [Nadi–Sydney, cityB, Sydney]
  • A. Sydney chosen
    Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
  • B. Sydney
    Sydney is the spirited, fashionable young woman who serves as the central heroine of Louisa May Alcott’s novel "An Old-Fashioned Girl."
  • C. Melbourne
    Melbourne is a major Australian city known for its vibrant arts scene, diverse culture, and status as a leading center for sports and education.
  • D. Melbourne
    Melbourne is a historic market town in Derbyshire, England, known for its Georgian architecture and the notable Melbourne Hall and gardens.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: cityB
Context triple: [Nadi–Sydney, cityB, Sydney]
  • A. city2 chosen
    Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
  • B. city1
    Indicates that the subject is classified as a city.
  • C. cityName
    Indicates that the associated value is the name of a city.
  • D. cities
    Indicates a relationship where one or more entities are identified as cities associated with another entity (such as a country, region, or person).
  • E. workCity
    Indicates the city in which an entity (typically a person) performs their work or job.
  • F. None of above.

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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c4d0f348190841fe13bff0fef00 completed March 14, 2026, 11:53 a.m.
PD Predicate disambiguation batch_69aef8f692008190bf4d637ffc3d3eaa completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.