Triple

T3355650
Position Surface form Disambiguated ID Type / Status
Subject Jerilderie E70597 entity
Predicate electoralDivisionFederal P1566 FINISHED
Object Farrer E119973 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: Farrer | Statement: [Jerilderie, electoralDivisionFederal, Farrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farrer
Context triple: [Jerilderie, 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. Farguson
    Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
  • C. Pagford
    Pagford is the fictional English village that serves as the primary setting of J.K. Rowling’s novel "The Casual Vacancy," characterized by its seemingly idyllic facade and underlying social tensions.
  • D. Fenner
    Fenner is an Australian federal electoral division in the Australian Capital Territory, represented in the House of Representatives.
  • E. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2419a808190a54fc03eeec6e42d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253b03e8819082a5bf5bd5c5d5cb completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.