Triple

T22827843
Position Surface form Disambiguated ID Type / Status
Subject Herlev E565708 entity
Predicate knownFor P22 FINISHED
Object Herlev 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: Herlev Hospital | Statement: [Herlev, knownFor, Herlev Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herlev Hospital
Context triple: [Herlev, knownFor, Herlev Hospital]
  • A. Herlev Hospital chosen
    Herlev Hospital is a major Danish university and regional hospital near Copenhagen, known for its distinctive high-rise architecture and wide range of specialized medical services.
  • B. Hvidovre Hospital
    Hvidovre Hospital is a major Danish university and regional hospital located in Hvidovre, near Copenhagen, known for its emergency care, specialized medical services, and clinical research.
  • C. Frederiksberg Hospital
    Frederiksberg Hospital is a major public hospital and healthcare facility located in the Frederiksberg district of Copenhagen, Denmark.
  • D. Glostrup Hospital
    Glostrup Hospital is a major Danish healthcare facility located in the suburb of Glostrup near Copenhagen, providing a wide range of medical and specialist services.
  • E. Odense University Hospital
    Odense University Hospital is a major Danish teaching and research hospital serving as the primary healthcare and clinical education center for the city of Odense and the surrounding region.
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2914188190be6cdbd8167cd806 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.