Triple

T9636827
Position Surface form Disambiguated ID Type / Status
Subject Northern Rivers E232952 entity
Predicate hasTown P847 FINISHED
Object Mullumbimby E763740 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: Mullumbimby | Statement: [Northern Rivers, hasTown, Mullumbimby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mullumbimby
Context triple: [Northern Rivers, hasTown, Mullumbimby]
  • A. Mullumbimby chosen
    Mullumbimby is a small town in northern New South Wales, Australia, known for its alternative culture and proximity to the Byron Bay region.
  • B. Berrima
    Berrima is a historic village in New South Wales, Australia, known for its well-preserved colonial architecture and heritage-listed buildings.
  • C. Narooma
    Narooma is a coastal town in New South Wales, Australia, known for its scenic beaches, fishing, and proximity to Montague Island.
  • D. Boorowa
    Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
  • E. Wamberal
    Wamberal is a coastal suburb on the Central Coast of New South Wales, Australia, known for its long sandy beach and residential lifestyle.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b5045cc8190ab717f42d803e010 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af5ea4e0819082de02bdf510eaee completed April 5, 2026, 12:39 a.m.
Created at: March 30, 2026, 8:11 p.m.