Triple

T22908828
Position Surface form Disambiguated ID Type / Status
Subject Vasa Park Resort E568526 entity
Predicate name P16 FINISHED
Object Vasa Park Resort 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: Vasa Park Resort | Statement: [Vasa Park Resort, name, Vasa Park Resort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasa Park Resort
Context triple: [Vasa Park Resort, name, Vasa Park Resort]
  • A. Vasa Park Resort chosen
    Vasa Park Resort is a lakeside recreational and event venue on the shores of Lake Sammamish in Washington State, offering swimming, picnicking, and facilities for gatherings.
  • B. Viking Bay
    Viking Bay is a popular sandy beach and seaside attraction in the coastal town of Broadstairs, Kent, known for its family-friendly promenade and traditional English seaside charm.
  • C. Hankavan resort
    Hankavan resort is a mountain spa and recreation area in Armenia known for its mineral springs, scenic landscapes, and tranquil holiday facilities.
  • D. Everland Resort
    Everland Resort is a major South Korean theme park and entertainment complex known for its rides, seasonal festivals, and zoo.
  • E. Tivoli Park
    Tivoli Park is the largest and most famous public park in Ljubljana, Slovenia, known for its landscaped gardens, walking paths, and cultural venues.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18072986881909eefb317ced5a145 completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.