Triple

T8517556
Position Surface form Disambiguated ID Type / Status
Subject Thornton-Cleveleys E201611 entity
Predicate hasComponent P35 FINISHED
Object Cleveleys E559566 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: Cleveleys | Statement: [Thornton-Cleveleys, hasComponent, Cleveleys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cleveleys
Context triple: [Thornton-Cleveleys, hasComponent, Cleveleys]
  • A. Cleveleys chosen
    Cleveleys is a seaside town on the Fylde Coast in Lancashire, England, known for its promenade, beaches, and role as a residential and holiday destination.
  • B. Lytham St Annes
    Lytham St Annes is a seaside town in Lancashire, England, known for its sandy beaches, Victorian architecture, and traditional resort character.
  • C. Southport
    Southport is a small city located within Marion County in the U.S. state of Indiana.
  • D. Southport
    Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
  • E. Southport
    Southport is a major coastal suburb and business hub of the City of Gold Coast in Queensland, Australia, known for its waterfront, shopping, and commercial precincts.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe626787c819087e72dd76b2d9310 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e6c93d081909da2a748b0fa6fd3 completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.