Triple

T14155119
Position Surface form Disambiguated ID Type / Status
Subject Beresfield E350795 entity
Predicate locatedNear P294 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: [Beresfield, locatedNear, Maitland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maitland
Context triple: [Beresfield, locatedNear, 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. Maitlandview
    Maitlandview is a small rural community located within the township of Edwardsburgh/Cardinal in eastern Ontario, Canada.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6135744c81909a43d659f5fe2895 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ec6448819087e50aac964ec637 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:58 a.m.