Triple

T7455246
Position Surface form Disambiguated ID Type / Status
Subject Benambra E172105 entity
Predicate contains P35 FINISHED
Object Mount Beauty E656306 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 Beauty | Statement: [Benambra, contains, Mount Beauty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Beauty
Context triple: [Benambra, contains, Mount Beauty]
  • A. Mount Beauty chosen
    Mount Beauty is a small alpine town in northeastern Victoria, Australia, known as a gateway to the Bogong High Plains and nearby ski fields such as Falls Creek.
  • B. Mount Barney
    Mount Barney is a prominent and rugged mountain in southeastern Queensland, Australia, renowned for its challenging hikes and striking natural scenery within Mount Barney National Park.
  • C. Mt Owen
    Mt Owen is a prominent limestone mountain in New Zealand’s South Island, noted for its extensive karst landscapes and cave systems.
  • D. Mount Rosea
    Mount Rosea is a prominent sandstone peak and popular hiking destination within Victoria, Australia’s Grampians mountain range.
  • E. Mount Field
    Mount Field is a prominent peak in New Hampshire’s White Mountains, known for its forested summit and popular hiking trails with views of the surrounding Presidential Range.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3af58dc819093fb0482482779a3 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827c39a848190bc275468362ce3bc completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:15 p.m.