Triple

T3221180
Position Surface form Disambiguated ID Type / Status
Subject Main Range E67513 entity
Predicate nearestTown P350 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: [Main Range, nearestTown, Jindabyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jindabyne
Context triple: [Main Range, nearestTown, 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae16f20081909d7f3bac016f961d completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bafeea081908b0909dff919a4fc completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:08 p.m.