Triple

T22612216
Position Surface form Disambiguated ID Type / Status
Subject Grose River E566736 entity
Predicate sourceLocation P40 FINISHED
Object Mount Victoria 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: Mount Victoria | Statement: [Grose River, sourceLocation, Mount Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Victoria
Context triple: [Grose River, sourceLocation, Mount Victoria]
  • A. Mount Victoria chosen
    Mount Victoria is a small historic village and mountain locality at the western edge of the Blue Mountains in New South Wales, Australia, known for its heritage architecture and scenic views.
  • B. Mount Victoria
    Mount Victoria is a prominent peak in western Myanmar known for its biodiversity-rich forests and panoramic views within the Chin Hills region.
  • C. Mount Victoria
    Mount Victoria is the former name of Mount Tomanivi, the highest peak in Fiji located on the island of Viti Levu.
  • D. Mount Victoria
    Mount Victoria is a prominent glaciated peak in the Canadian Rockies, forming a dramatic backdrop to Lake Louise on the border of Alberta and British Columbia.
  • E. Mount Victoria
    Mount Victoria is a prominent hill in Wellington, New Zealand, known for its panoramic views over the city and Wellington Harbour.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:57 p.m.