Triple

T14545438
Position Surface form Disambiguated ID Type / Status
Subject Division of Swan E341279 entity
Predicate hasBoundaryFeature P6131 FINISHED
Object Swan River 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: Swan River | Statement: [Division of Swan, hasBoundaryFeature, Swan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swan River
Context triple: [Division of Swan, hasBoundaryFeature, Swan River]
  • A. Swan River chosen
    The Swan River is a major waterway in Western Australia that flows through the city of Perth and is central to its landscape, recreation, and history.
  • B. Swan River
    Swan River is a river flowing through the Una district, known for supporting local ecosystems and communities in that region.
  • C. William River
    William River is a river in northern Saskatchewan, Canada, that drains remote boreal and shield landscapes before emptying into Lake Athabasca.
  • D. Arthur River
    Arthur River is a river in New Zealand’s Fiordland region that drains alpine landscapes and carries the waters of notable features such as Sutherland Falls toward the sea.
  • E. Williams River
    The Williams River is a river in New South Wales, Australia, that flows through the Hunter Region and contributes to its agricultural and ecological landscape.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bfc2b48190adb0897682c26a9a completed April 14, 2026, 9:29 p.m.
Created at: April 10, 2026, 1:22 a.m.