Triple

T7270320
Position Surface form Disambiguated ID Type / Status
Subject Division of Paterson E161085 entity
Predicate includesTown P847 FINISHED
Object Maitland 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 | Statement: [Division of Paterson, includesTown, Maitland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maitland
Context triple: [Division of Paterson, includesTown, Maitland]
  • A. Maitland
    Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
  • B. Maitland
    Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
  • C. 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.
  • D. Maryborough
    Maryborough is a historic city in Queensland, Australia, known for its heritage architecture and role as a regional service and transport hub.
  • E. Minto
    Minto is a small rural town and municipality in southwestern Ontario, Canada, known for its agricultural community and small-town 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae9f8bc8190a8c31cc29926919c completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db21e5e88190afcff211a7794de7 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:58 p.m.