Triple

T2166950
Position Surface form Disambiguated ID Type / Status
Subject Elias Erkko E46930 entity
Predicate notableWork P4 FINISHED
Object Helsingin Sanomat E72611 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: Helsingin Sanomat | Statement: [Elias Erkko, notableWork, Helsingin Sanomat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helsingin Sanomat
Context triple: [Elias Erkko, notableWork, Helsingin Sanomat]
  • A. Helsingin Sanomat chosen
    Helsingin Sanomat is Finland’s largest and most influential daily newspaper, widely regarded as the country’s newspaper of record.
  • B. Ilta-Sanomat
    Ilta-Sanomat is one of Finland’s largest and most influential tabloid newspapers, known for its wide circulation and popular online news portal.
  • C. Turun Sanomat
    Turun Sanomat is one of Finland’s leading regional daily newspapers, based in Turku and widely read in Southwest Finland.
  • D. Iltalehti
    Iltalehti is one of Finland’s largest and most influential tabloid newspapers, known for its wide circulation and popular online news portal.
  • E. Aamulehti
    Aamulehti is a prominent Finnish regional newspaper based in Tampere, known for its comprehensive coverage of local and national news.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeab223881908aaa2bc4f85329cc completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f044b8819092c58022383d3468 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.