Triple

T4700978
Position Surface form Disambiguated ID Type / Status
Subject High Street railway station E104268 entity
Predicate locatedIn P40 FINISHED
Object Maitland, New South Wales E16926 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: Maitland, New South Wales | Statement: [High Street railway station, locatedIn, Maitland, New South Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maitland, New South Wales
Context triple: [High Street railway station, locatedIn, Maitland, New South Wales]
  • A. Maitland, New South Wales chosen
    Maitland, New South Wales is a historic regional city in Australia known for its heritage architecture and proximity to the Hunter Valley wine region.
  • B. Maitland
    Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
  • C. Maitland
    Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
  • D. Newcastle, New South Wales
    Newcastle, New South Wales is a coastal Australian city known for its busy port, beaches, and historic industrial and coal-mining heritage.
  • E. 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.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cd447081908120ee1691009982 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf185bce7c8190ad94ab3f848a0040 completed March 21, 2026, 10:14 p.m.
Created at: March 20, 2026, 1:17 p.m.