Triple

T20166593
Position Surface form Disambiguated ID Type / Status
Subject Monash Freeway E491838 entity
Predicate passesThrough P225 FINISHED
Object Berwick 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: Berwick | Statement: [Monash Freeway, passesThrough, Berwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berwick
Context triple: [Monash Freeway, passesThrough, Berwick]
  • A. Berwick
    Berwick is a small borough in northeastern Pennsylvania known historically for its manufacturing industry and annual Halloween parade.
  • B. Berwick chosen
    Berwick is a small community located within Russell County, likely serving as a rural residential and agricultural settlement.
  • C. Berwick
    Berwick is a small town in Nova Scotia, Canada, known for its location in the agricultural Annapolis Valley and its apple-growing heritage.
  • D. Berwick-upon-Tweed
    Berwick-upon-Tweed is a historic English border town near Scotland, known for its medieval walls, strategic military past, and coastal location at the mouth of the River Tweed.
  • E. North Berwick
    North Berwick is a coastal town in East Lothian, Scotland, known for its scenic beaches, golf courses, and views of nearby islands in the Firth of Forth.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.