Triple

T7310937
Position Surface form Disambiguated ID Type / Status
Subject Hume region E168087 entity
Predicate hasTown P847 FINISHED
Object Tallangatta E658218 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: Tallangatta | Statement: [Hume region, hasTown, Tallangatta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tallangatta
Context triple: [Hume region, hasTown, Tallangatta]
  • A. Tallangatta chosen
    Tallangatta is a small rural town in northeastern Victoria, Australia, known for being relocated in the 1950s to accommodate the expansion of Lake Hume.
  • B. Eungella
    Eungella is a small rural township in Queensland, Australia, known as a gateway to the surrounding Eungella National Park and its rainforest landscapes.
  • C. Wallangarra
    Wallangarra is a small town on the New South Wales–Queensland border in Australia, historically known as an important railway junction between the two states.
  • D. Amaroo
    Amaroo is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
  • E. Mallacoota
    Mallacoota is a small coastal town in eastern Victoria, Australia, known for its remote beaches, fishing, and proximity to Croajingolong National Park.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebff866081909916796d1b72aee8 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802ac12a8819098d855e250e00274 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:02 p.m.