Triple

T19537379
Position Surface form Disambiguated ID Type / Status
Subject Kawungan E488800 entity
Predicate hasNeighbour P5707 FINISHED
Object Wondunna 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: Wondunna | Statement: [Kawungan, hasNeighbour, Wondunna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wondunna
Context triple: [Kawungan, hasNeighbour, Wondunna]
  • A. Wondunna chosen
    Wondunna is a residential suburb located within the coastal city of Hervey Bay in Queensland, Australia.
  • 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. Okondjatu
    Okondjatu is a rural settlement in Namibia known for its cattle-farming communities and location within the country’s eastern Omaheke Region.
  • D. Anozie
    Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
  • E. Wellawaya
    Wellawaya is a town in Sri Lanka’s Uva Province known as a gateway to nearby waterfalls, national parks, and scenic hill country landscapes.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386fd12c81908eb5f1ef63b77156 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.