Triple

T5754566
Position Surface form Disambiguated ID Type / Status
Subject Lahti Pelicans E126932 entity
Predicate countrySubdivision P766 FINISHED
Object Päijät-Häme E300239 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: Päijät-Häme | Statement: [Lahti Pelicans, countrySubdivision, Päijät-Häme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Päijät-Häme
Context triple: [Lahti Pelicans, countrySubdivision, Päijät-Häme]
  • A. Päijät-Häme chosen
    Päijät-Häme is a region in southern Finland known for its lakes, forests, and the city of Lahti as its main urban center.
  • B. Satakunta
    Satakunta is a historical province and region on the western coast of Finland, known for its industrial heritage, coastal landscapes, and the city of Pori.
  • C. Kymenlaakso
    Kymenlaakso is a region in southeastern Finland known for its industrial centers, coastal location along the Gulf of Finland, and historically significant role as a settlement area for evacuees from Karelia.
  • D. Kanta-Häme
    Kanta-Häme is a region in southern Finland known for its historic towns, lakes, and forests, with Hämeenlinna as its central city.
  • E. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02904dcf481909e4340a64ee1034e completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e434aa88190b56e721c002d31b8 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:49 p.m.