Triple

T1397559
Position Surface form Disambiguated ID Type / Status
Subject Wentworth E30701 entity
Predicate federalElectorate P1971 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: [Wentworth, federalElectorate, Farrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farrer
Context triple: [Wentworth, federalElectorate, 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. Fenner
    Fenner is an Australian federal electoral division in the Australian Capital Territory, represented in the House of Representatives.
  • D. Fawler
    Fawler is a small rural village in the West Oxfordshire district of Oxfordshire, England.
  • E. Rawson
    Rawson is a coastal city in southern Argentina that serves as the capital of Chubut Province and an important administrative and fishing center in Patagonia.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c382b6588190833c39ac84fb6139 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0156109081908f163af94e4e7978 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.