Triple

T14563274
Position Surface form Disambiguated ID Type / Status
Subject Formby Beach E341719 entity
Predicate locatedIn P40 FINISHED
Object Formby E68386 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: Formby | Statement: [Formby Beach, locatedIn, Formby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formby
Context triple: [Formby Beach, locatedIn, Formby]
  • A. Formby chosen
    Formby is a coastal town in North West England known for its sandy beaches, sand dunes, and nearby red squirrel reserve.
  • B. Winsford
    Winsford is a town in Cheshire, England, known historically for its salt mining industry and its location along the River Weaver.
  • C. Kirkby
    Kirkby is a town in the Metropolitan Borough of Knowsley in North West England, historically part of Lancashire and now within the county of Merseyside.
  • D. Hawarden
    Hawarden is a village in Flintshire, Wales, historically notable as the longtime home and final residence of British Prime Minister William Ewart Gladstone.
  • E. Navenby
    Navenby is a historic village and civil parish in Lincolnshire, England, known for its traditional architecture and rural character.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38afa8881909c9151b7620949ae completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf072a46481909287ef89f226270e completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:23 a.m.