Triple

T3817727
Position Surface form Disambiguated ID Type / Status
Subject Helsinki Cathedral E84296 entity
Predicate locatedIn P40 FINISHED
Object Kruununhaka E203344 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: Kruununhaka | Statement: [Helsinki Cathedral, locatedIn, Kruununhaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kruununhaka
Context triple: [Helsinki Cathedral, locatedIn, Kruununhaka]
  • A. Kruununhaka chosen
    Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
  • B. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • C. Hailuoto
    Hailuoto is a Finnish island in the northern Baltic Sea known for its unique dune landscapes, birdlife, and traditional fishing villages.
  • D. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • E. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea5e41ec81908ed7e1ccc2713622 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb43e1d481909a5b52cae5686179 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.