Triple

T17810364
Position Surface form Disambiguated ID Type / Status
Subject Dalmeny Beach E444683 entity
Predicate nearestTown P350 FINISHED
Object Narooma NE NERFINISHED

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: Narooma | Statement: [Dalmeny Beach, nearestTown, Narooma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narooma
Context triple: [Dalmeny Beach, nearestTown, Narooma]
  • A. Narooma chosen
    Narooma is a coastal town in New South Wales, Australia, known for its scenic beaches, fishing, and proximity to Montague Island.
  • B. Boorowa
    Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
  • C. Culcairn
    Culcairn is a small rural town in the Riverina region of New South Wales, Australia, serving as a local service and transport hub.
  • D. Mullumbimby
    Mullumbimby is a small town in northern New South Wales, Australia, known for its alternative culture and proximity to the Byron Bay region.
  • E. Walcha
    Walcha is a rural town in New South Wales, Australia, known for its pastoral farming, cool climate, and location on the Northern Tablelands near the Great Dividing Range.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887a50488190b9c148146ec607e6 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.