Triple

T17277947
Position Surface form Disambiguated ID Type / Status
Subject Cringila E419439 entity
Predicate nearbySuburb P41355 FINISHED
Object Unanderra E82901 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: Unanderra | Statement: [Cringila, nearbySuburb, Unanderra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unanderra
Context triple: [Cringila, nearbySuburb, Unanderra]
  • A. Unanderra chosen
    Unanderra is a suburb of Wollongong in New South Wales, Australia, known for its mix of residential areas and light industrial and commercial facilities.
  • B. Wiluna
    Wiluna is a remote outback town in Western Australia known historically as a gold mining center and as a gateway to desert tracks such as the Canning Stock Route.
  • C. Ulmarra
    Ulmarra is a small historic riverside village in New South Wales, Australia, known for its heritage streetscape and location on the Clarence River.
  • D. Andula
    Andula is the naive yet emotionally complex young woman at the heart of Miloš Forman’s Czech New Wave film "A Blonde in Love."
  • E. Booragul
    Booragul is a lakeside suburb in the City of Lake Macquarie, New South Wales, Australia, located west of Newcastle.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43327b048819095fbd93b2105533a completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d29f4881908694f0182930d716 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.