Triple

T7635787
Position Surface form Disambiguated ID Type / Status
Subject Southern Finland E172874 entity
Predicate contains P35 FINISHED
Object Hyvinkää E309359 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: Hyvinkää | Statement: [Southern Finland, contains, Hyvinkää]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyvinkää
Context triple: [Southern Finland, contains, Hyvinkää]
  • A. Hyvinkää chosen
    Hyvinkää is a town and municipality in southern Finland known for its railway heritage and location within the Greater Helsinki region.
  • B. Kirkkonummi
    Kirkkonummi is a municipality in southern Finland, located just west of Helsinki on the coast of the Gulf of Finland.
  • C. Järvenpää
    Järvenpää is a small city in southern Finland known for its lakeside setting and cultural heritage, including its association with composer Jean Sibelius.
  • D. Kuokkala
    Kuokkala is a residential district of the city of Jyväskylä in central Finland, known for its lakeside location and distinctive bridge connection to the city center.
  • E. Ruovesi
    Ruovesi is a municipality in the Pirkanmaa region of Finland, known for its lakeside landscapes that have inspired Finnish artists and writers.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa95e488190962c23609e0890a5 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9953aff988190a3224050e5706589 completed March 29, 2026, 9:10 p.m.
Created at: March 27, 2026, 3:57 p.m.