Triple

T8592595
Position Surface form Disambiguated ID Type / Status
Subject Meilahti E203464 entity
Predicate hasFacility P105 FINISHED
Object Meilahti Hospital E205328 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: Meilahti Hospital | Statement: [Meilahti, hasFacility, Meilahti Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meilahti Hospital
Context triple: [Meilahti, hasFacility, Meilahti Hospital]
  • A. Syosset Hospital
    Syosset Hospital is a community medical center located in Syosset, New York, providing a range of inpatient and outpatient healthcare services to the surrounding area.
  • B. 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.
  • C. Helsinki University Central Hospital chosen
    Helsinki University Central Hospital is a major teaching and research hospital in Helsinki, Finland, affiliated with the University of Helsinki and serving as one of the country’s leading medical centers.
  • D. Tonna Hospital
    Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
  • E. Tartu University Hospital
    Tartu University Hospital is a major teaching and research hospital in Estonia that serves as the primary clinical base for the University of Tartu’s medical education and healthcare services.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4668b49481908838579e9876c1ec completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8becbd88190837478e302d5e5b4 completed April 2, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:23 p.m.