Triple

T20945266
Position Surface form Disambiguated ID Type / Status
Subject Latrobe River E515827 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Sale 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: Sale | Statement: [Latrobe River, hasNearbySettlement, Sale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sale
Context triple: [Latrobe River, hasNearbySettlement, Sale]
  • A. Sale chosen
    Sale is a regional city in the Gippsland region of eastern Victoria, Australia, known as an administrative and service centre for the surrounding rural and coastal areas.
  • B. Sale
    Sale is a town in Greater Manchester, England, known as a residential suburb within the Metropolitan Borough of Trafford.
  • C. Venta
    Venta is a major river in the Baltic region that flows through western Latvia and Lithuania before emptying into the Baltic Sea.
  • D. Sellin
    Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • E. Book of Sales
    Book of Sales is a classical Islamic jurisprudential text section that details the legal rulings and principles governing commercial transactions and trade.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad7f67481908675e76736f5e0c3 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:55 p.m.