Triple

T14448556
Position Surface form Disambiguated ID Type / Status
Subject City of Monash E358269 entity
Predicate containsSuburb P21902 FINISHED
Object Mount Waverley E705783 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 Waverley | Statement: [City of Monash, containsSuburb, Mount Waverley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Waverley
Context triple: [City of Monash, containsSuburb, Mount Waverley]
  • A. Mount Waverley chosen
    Mount Waverley is a residential suburb in Melbourne, Victoria, Australia, known for its family-friendly environment, schools, and access to public transport.
  • B. Mount Sealy
    Mount Sealy is a mountain peak located within New Zealand’s Southern Alps, known for its alpine scenery and proximity to Aoraki / Mount Cook.
  • C. Mount Murchison
    Mount Murchison is a prominent peak in New Zealand’s Southern Alps, known for its alpine scenery and challenging mountaineering routes.
  • D. Mount Williamson
    Mount Williamson is one of the highest and most prominent peaks in California’s Sierra Nevada, known for its rugged terrain and challenging climbing routes.
  • E. Mount Farquhar
    Mount Farquhar is a high, rugged peak in California’s Sierra Nevada, located along the remote Great Western Divide within Sequoia National Park.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916139888190be219678e29a2a3a completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa904c08190b33796b832aa100f completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:19 a.m.