Triple

T14458104
Position Surface form Disambiguated ID Type / Status
Subject Valtioneuvoston linna E358507 entity
Predicate locatedOn P40 FINISHED
Object Snellmaninkatu E752149 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: Snellmaninkatu | Statement: [Valtioneuvoston linna, locatedOn, Snellmaninkatu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snellmaninkatu
Context triple: [Valtioneuvoston linna, locatedOn, Snellmaninkatu]
  • A. Snellmaninkatu, Helsinki chosen
    Snellmaninkatu in Helsinki is a central street in the Kruununhaka district known for its historic architecture and key national institutions, including the Bank of Finland.
  • B. Katariinankatu
    Katariinankatu is a street in central Helsinki, Finland, located in the historic city center near Senate Square.
  • C. Mannerheimintie
    Mannerheimintie is one of the main thoroughfares in central Helsinki, Finland, known for its major cultural landmarks, shops, and heavy traffic.
  • D. Aleksanterinkatu
    Aleksanterinkatu is one of the main historic and commercial streets in central Helsinki, known for its shops, landmarks, and role as a key thoroughfare in the city.
  • E. Eteläranta street
    Eteläranta street is a central waterfront street in Helsinki, Finland, known for its historic buildings and prominent hotels along the South Harbour.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91aabebc819097eb61b2d81c9a91 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d890be88190afe61dde0d1e75a8 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:19 a.m.