Triple

T15196879
Position Surface form Disambiguated ID Type / Status
Subject A565 E363158 entity
Predicate passesThrough P225 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: [A565, passesThrough, Formby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formby
Context triple: [A565, passesThrough, 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef66b4f08190a072332123253166 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:10 a.m.