Triple

T6700619
Position Surface form Disambiguated ID Type / Status
Subject Addington Highlands E152868 entity
Predicate hasCommunity P2605 FINISHED
Object Anglesea E487215 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: Anglesea | Statement: [Addington Highlands, hasCommunity, Anglesea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anglesea
Context triple: [Addington Highlands, hasCommunity, Anglesea]
  • A. Anglesea chosen
    Anglesea is a coastal town in Victoria, Australia, known for its beaches, surf breaks, and scenic bushland along the state’s southwest coast.
  • B. Gilgandra
    Gilgandra is a rural town in New South Wales, Australia, known as a service and agricultural centre on the western plains.
  • C. Coomera
    Coomera is a rapidly growing suburb in the northern Gold Coast region of Queensland, Australia, known for its theme parks, residential developments, and transport links.
  • D. Leongatha
    Leongatha is a regional town in South Gippsland, Victoria, Australia, known as a service and commercial hub for the surrounding dairy and agricultural district.
  • E. Loxton
    Loxton is a rural town in South Australia's Riverland region, known for its irrigated agriculture, particularly citrus and grape production, and its location along the Murray River.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e4a1848190997520ddd7808cc6 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723bb93c881908fdb9f1924842314 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:05 p.m.