Triple

T8291186
Position Surface form Disambiguated ID Type / Status
Subject Mount Ainslie Lookout E193899 entity
Predicate locatedIn P40 FINISHED
Object Mount Ainslie E37377 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: Mount Ainslie | Statement: [Mount Ainslie Lookout, locatedIn, Mount Ainslie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Ainslie
Context triple: [Mount Ainslie Lookout, locatedIn, Mount Ainslie]
  • A. Mount Ainslie chosen
    Mount Ainslie is a prominent hill in Canberra, Australia, known for its popular lookout offering panoramic views over the city and its surrounding landscape.
  • B. Mount Murchison
    Mount Murchison is a prominent peak in New Zealand’s Southern Alps, known for its alpine scenery and challenging mountaineering routes.
  • C. Mount Pattison
    Mount Pattison is a mountain peak in the Fitzsimmons Range of the Coast Mountains in southwestern British Columbia, Canada.
  • D. Mount Cumming
    Mount Cumming is a volcanic mountain in Marie Byrd Land, Antarctica, forming part of the remote Executive Committee Range.
  • E. Mount Belford
    Mount Belford is a prominent Colorado fourteener in the Rocky Mountains, popular with hikers for its challenging ascent and sweeping alpine views.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c9b65e0819083ddc82fb7c4a5f3 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369226a28819088b14cbc4cb78e57 completed April 6, 2026, 8:04 a.m.
Created at: March 30, 2026, 5:52 p.m.