Triple

T14493843
Position Surface form Disambiguated ID Type / Status
Subject Jamison Valley escarpments E359436 entity
Predicate near P350 FINISHED
Object Leura E80142 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: Leura | Statement: [Jamison Valley escarpments, near, Leura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leura
Context triple: [Jamison Valley escarpments, near, Leura]
  • A. Leura chosen
    Leura is a picturesque village in New South Wales, Australia, known for its heritage streetscapes, gardens, and scenic views within the Blue Mountains region.
  • B. Tollygunge
    Tollygunge is a neighborhood in south Kolkata, India, best known as the historic hub of the Bengali film industry.
  • C. 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.
  • D. Tenambit
    Tenambit is a residential suburb in the Lower Hunter Region of New South Wales, Australia, situated near the city of Maitland.
  • E. Tamborine Mountain
    Tamborine Mountain is a scenic plateau in southeast Queensland, Australia, known for its rainforests, waterfalls, walking tracks, and arts-and-crafts villages.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930f34d08190b4b30e54e2f702ed completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9544cc81908105554f212a9b8c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.