Triple

T3279430
Position Surface form Disambiguated ID Type / Status
Subject Sydney Central station E68837 entity
Predicate locatedIn P40 FINISHED
Object City of Sydney E8462 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: City of Sydney | Statement: [Sydney Central station, locatedIn, City of Sydney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Sydney
Context triple: [Sydney Central station, locatedIn, City of Sydney]
  • A. Sydney chosen
    Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
  • B. North Sydney
    North Sydney is a major commercial and residential district on the lower North Shore of Sydney, known for its high-rise office towers, proximity to the Sydney Harbour Bridge, and views over Sydney Harbour.
  • C. Wollongong
    Wollongong is a coastal city in Australia known for its heavy industry, port facilities, and popular surf beaches along the Illawarra region.
  • D. Eastern Suburbs, Sydney
    Eastern Suburbs, Sydney is an affluent coastal region of Sydney known for its iconic beaches like Bondi, harbourside suburbs, and proximity to the city centre.
  • E. Melbourne
    Melbourne is a historic market town in Derbyshire, England, known for its Georgian architecture and the notable Melbourne Hall and gardens.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0155430819097c806ee407dc1e4 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402bcf7ec8190a7f0b7c0cc45e2f8 completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 3:10 p.m.