Triple

T15082472
Position Surface form Disambiguated ID Type / Status
Subject Moss Vale E360182 entity
Predicate nearbyTown P3883 FINISHED
Object Berrima E359905 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: Berrima | Statement: [Moss Vale, nearbyTown, Berrima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berrima
Context triple: [Moss Vale, nearbyTown, Berrima]
  • A. Berrima chosen
    Berrima is a historic village in New South Wales, Australia, known for its well-preserved colonial architecture and heritage-listed buildings.
  • B. Mullumbimby
    Mullumbimby is a small town in northern New South Wales, Australia, known for its alternative culture and proximity to the Byron Bay region.
  • C. Murrumburrah
    Murrumburrah is a small historic town in New South Wales, Australia, known for its rural heritage and role in the development of the surrounding agricultural district.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007581ba008190a6d558c8f4e861d6 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 3:03 a.m.