Triple

T5445570
Position Surface form Disambiguated ID Type / Status
Subject Barmera E122240 entity
Predicate region P40 FINISHED
Object Riverland E291932 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: Riverland | Statement: [Barmera, region, Riverland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riverland
Context triple: [Barmera, region, Riverland]
  • A. Riverland chosen
    Riverland is a major agricultural and wine-producing region in eastern South Australia, known for its irrigated fruit orchards and vineyards along the Murray River.
  • B. Dirksland
    Dirksland is a village and former municipality in the western Netherlands, located on the island of Goeree-Overflakkee in the province of South Holland.
  • C. Hay Shire
    Hay Shire is a rural local government area in the Riverina region of southwestern New South Wales, Australia, centered on the town of Hay and known for its agricultural production and pastoral history.
  • D. Tenterfield
    Tenterfield is a historic rural town in New South Wales, Australia, known for its heritage architecture and role in Australian federation history.
  • E. Trangie
    Trangie is a small rural town in New South Wales, Australia, situated in the Orana region west of Dubbo.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91cf5d488190868ffefad02c7a04 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf413573c08190beae400c485d2132 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.