Triple

T20887022
Position Surface form Disambiguated ID Type / Status
Subject Ružinov E514308 entity
Predicate hasLandmark P105 FINISHED
Object Ružinov Hospital 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: Ružinov Hospital | Statement: [Ružinov, hasLandmark, Ružinov Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ružinov Hospital
Context triple: [Ružinov, hasLandmark, Ružinov Hospital]
  • A. Ružinov Hospital chosen
    Ružinov Hospital is a major healthcare facility located in the Ružinov district of Bratislava, Slovakia, providing a wide range of medical services to the local population.
  • B. Bronovo Hospital
    Bronovo Hospital is a former general hospital in The Hague, Netherlands, known for serving the Dutch royal family, including as the birthplace of Princess Alexia.
  • C. Kuks Hospital
    Kuks Hospital is a historic Baroque complex in the village of Kuks in East Bohemia, Czech Republic, originally built as a spa and charitable hospital.
  • D. Juravinski Hospital
    Juravinski Hospital is a major acute care and cancer treatment center in Hamilton, Ontario, known for its oncology services and affiliation with McMaster University.
  • E. Bega District Hospital
    Bega District Hospital is a regional public healthcare facility serving the medical needs of the Bega community and surrounding areas in New South Wales, Australia.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d058d4dc81908398f8c75e30dc77 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.