Triple

T20826068
Position Surface form Disambiguated ID Type / Status
Subject Balranald E512701 entity
Predicate electoralDivisionFederal P1566 FINISHED
Object Farrer 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: Farrer | Statement: [Balranald, electoralDivisionFederal, Farrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farrer
Context triple: [Balranald, electoralDivisionFederal, Farrer]
  • A. Farrer chosen
    Farrer is an Australian federal electoral division in New South Wales, encompassing large rural and regional areas in the state’s southwest.
  • B. Farrer
    Farrer is a surname of English origin borne by various notable individuals, including scientists, politicians, and religious figures.
  • C. Farrar
    Farrar is a surname most notably associated with American musician and songwriter Jay Farrar, co-founder of the influential alternative country band Uncle Tupelo.
  • D. Farr
    Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
  • E. Farguson
    Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fd8480819099930af691d97477 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.