Triple

T11422368
Position Surface form Disambiguated ID Type / Status
Subject Töölö E270655 entity
Predicate adjacentToWaterBody P1489 FINISHED
Object Seurasaarenselkä E40748 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: Seurasaarenselkä | Statement: [Töölö, adjacentToWaterBody, Seurasaarenselkä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seurasaarenselkä
Context triple: [Töölö, adjacentToWaterBody, Seurasaarenselkä]
  • A. Seurasaarenselkä chosen
    Seurasaarenselkä is a bay area of the Baltic Sea in Helsinki, Finland, known for its coastal scenery and proximity to several notable city landmarks and recreational areas.
  • B. Seurasaari
    Seurasaari is an island in Helsinki, Finland, best known for its open-air museum showcasing traditional Finnish wooden buildings and rural life.
  • C. Lauttasaari
    Lauttasaari is an island district of Helsinki, Finland, known for its residential areas, seaside parks, and easy access to the city center.
  • D. Suursaari
    Suursaari is a large, strategically located island in the eastern Gulf of Finland, known for its rugged terrain, historical military significance, and shifting control between Finland and Russia.
  • E. Tammisaari
    Tammisaari is a historic coastal town in southern Finland, known for its well-preserved wooden old town and seaside setting.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d36004cc81908222321af88d2903 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.