Triple

T7310936
Position Surface form Disambiguated ID Type / Status
Subject Hume region E168087 entity
Predicate hasTown P847 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: [Hume region, hasTown, Mount Beauty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Beauty
Context triple: [Hume region, hasTown, 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebff866081909916796d1b72aee8 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa75d64c8190be20be58c81446e1 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:02 p.m.