Triple

T15283983
Position Surface form Disambiguated ID Type / Status
Subject Finnish Institute for Health and Welfare E365344 entity
Predicate dataRole P95292 FINISHED
Object national statistics authority for health and welfare LITERAL 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: national statistics authority for health and welfare | Statement: [Finnish Institute for Health and Welfare, dataRole, national statistics authority for health and welfare]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataRole
Context triple: [Finnish Institute for Health and Welfare, dataRole, national statistics authority for health and welfare]
  • A. associatedDataRole chosen
    Indicates that one entity has a specific role in relation to data that is linked or connected to another entity.
  • B. roleInMetadata
    Indicates that an entity serves a specific function or position within a metadata record or metadata structure.
  • C. conceptualRole
    Indicates the functional or semantic role that one concept plays in relation to another within a conceptual structure or system.
  • D. formRole
    Indicates that an entity assumes, is assigned, or functions in a particular role within a specified context or structure.
  • E. identificationRole
    Indicates that an entity serves as an identifier or plays a role in uniquely distinguishing or recognizing another entity.
  • F. None of above.

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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e53c9588190a6cb61ac8805c706 completed April 15, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69deca90739081909bd1b797cdb8af2b completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:15 a.m.