Triple

T2560511
Position Surface form Disambiguated ID Type / Status
Subject Karelian Air Command E57230 entity
Predicate garrisonLocation P40 FINISHED
Object Siilinjärvi E278131 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: Siilinjärvi | Statement: [Karelian Air Command, garrisonLocation, Siilinjärvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siilinjärvi
Context triple: [Karelian Air Command, garrisonLocation, Siilinjärvi]
  • A. Siilinjärvi chosen
    Siilinjärvi is a municipality in Eastern Finland known for hosting Rissala Air Base and being part of the Kuopio region.
  • B. Siilasvuo
    Siilasvuo is a Finnish surname most notably associated with Hjalmar Siilasvuo, a prominent Finnish general during World War II.
  • C. Luumäki
    Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
  • D. Suonenjoki
    Suonenjoki is a small town and municipality in the Northern Savonia region of Finland, known for its rural landscapes and berry cultivation.
  • E. Tarvasjoki
    Tarvasjoki is a small former municipality in southwestern Finland known for its rural landscape and proximity to the city of Turku.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd334b69481908a6f2c0b41550ce9 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655f72fc81908a85a69f95d0b827 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.