Triple

T3259727
Position Surface form Disambiguated ID Type / Status
Subject Guthega E68379 entity
Predicate accessibleFrom P1985 FINISHED
Object Jindabyne E70585 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: Jindabyne | Statement: [Guthega, accessibleFrom, Jindabyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jindabyne
Context triple: [Guthega, accessibleFrom, Jindabyne]
  • A. Jindabyne chosen
    Jindabyne is a town in New South Wales, Australia, known as a major gateway to the Snowy Mountains ski fields and Kosciuszko National Park.
  • B. Narrandera
    Narrandera is a rural town in the Riverina region of New South Wales, Australia, known for its agricultural production and historic riverside setting.
  • C. Merimbula
    Merimbula is a coastal town in New South Wales, Australia, known for its beaches, lakes, and role as a popular holiday destination on the Sapphire Coast.
  • D. Manjimup
    Manjimup is a rural town in Western Australia known for its timber industry, agriculture, and truffle production.
  • E. Kandos
    Kandos is a small town in New South Wales, Australia, historically known for its cement industry and its location near the Capertee Valley and Wollemi National Park.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa673a481909b5024b4e0e1c2a7 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36093ae9081909f6e63b1efcb9fbb completed March 13, 2026, 12:55 a.m.
Created at: March 8, 2026, 3:09 p.m.