Triple

T20486340
Position Surface form Disambiguated ID Type / Status
Subject Mount Bogong E502602 entity
Predicate nearestTown P350 FINISHED
Object Falls Creek NE NERFINISHED

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: Falls Creek | Statement: [Mount Bogong, nearestTown, Falls Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falls Creek
Context triple: [Mount Bogong, nearestTown, Falls Creek]
  • A. Falls Creek chosen
    Falls Creek is a major Australian alpine resort in Victoria known for its extensive ski terrain, snow sports, and year-round mountain activities.
  • B. Scott Creek
    Scott Creek is a minor watercourse in New South Wales, Australia, that forms part of the Pages River catchment within the Hunter River basin.
  • C. Beaver Creek
    Beaver Creek is a smaller stream in the central Great Plains region of the United States that feeds into the Republican River as part of its watershed.
  • D. Beaver Creek
    Beaver Creek is a tributary stream in northwestern Oregon that feeds into the Nestucca River within the coastal watershed.
  • E. Beaver Creek
    Beaver Creek is a stream in Iowa that feeds into the Des Moines River and contributes to the region’s watershed and local ecosystems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5aac208190956c7fd935578d60 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.