Triple

T23220634
Position Surface form Disambiguated ID Type / Status
Subject Oreti River E580879 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Winton E646117 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: Winton | Statement: [Oreti River, hasNearbySettlement, Winton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winton
Context triple: [Oreti River, hasNearbySettlement, Winton]
  • A. Winton chosen
    Winton is a small rural town in New Zealand’s Southland region, known as a service and farming hub for the surrounding agricultural community.
  • B. Winton
    Winton is a small outback town in central-west Queensland, Australia, known for its rich dinosaur fossil discoveries and links to Australian bush poetry and folk history.
  • C. Winton
    Winton is a small unincorporated community and census-designated place in California’s Central Valley.
  • D. Winton
    Winton is a suburban area within the City of Salford in Greater Manchester, England.
  • E. Winton
    Winton is a small locality in northeastern Victoria, Australia, known for its rural setting and proximity to the regional town of Benalla.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916870148190853874e6cf26bbc7 completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f4ffc3c8190a971bc5e7d362ae2 completed May 19, 2026, 10:45 a.m.
Created at: April 17, 2026, 4:08 p.m.