Triple

T20239087
Position Surface form Disambiguated ID Type / Status
Subject Lusk Round Tower E498232 entity
Predicate locatedIn P40 FINISHED
Object Lusk 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: Lusk | Statement: [Lusk Round Tower, locatedIn, Lusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusk
Context triple: [Lusk Round Tower, locatedIn, Lusk]
  • A. Lusk chosen
    Lusk is a small town in north County Dublin, Ireland, known for its historic medieval tower and rural village character.
  • B. Burkley
    Burkley is a surname most notably associated with American character actor Dennis Burkley.
  • C. Berrigan
    Berrigan is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and historic country character.
  • D. McInnerny
    McInnerny is the surname of British actor Tim McInnerny, known for his roles in the Blackadder television series and various film and stage productions.
  • E. Stevenstown
    Stevenstown was the original name of the small Midwestern community now known as Opolis, Kansas.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716c8de88190916bfa1d6b7f79cb completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.