Triple

T11955757
Position Surface form Disambiguated ID Type / Status
Subject Finnish Air Force garrison at Tikkakoski E284547 entity
Predicate locatedIn P40 FINISHED
Object Tikkakoski E59177 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: Tikkakoski | Statement: [Finnish Air Force garrison at Tikkakoski, locatedIn, Tikkakoski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tikkakoski
Context triple: [Finnish Air Force garrison at Tikkakoski, locatedIn, Tikkakoski]
  • A. Tikkakoski chosen
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • B. Taivalkoski
    Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
  • C. Valkeakoski
    Valkeakoski is a town and municipality in the Pirkanmaa region of southern Finland, known for its paper industry and lakeside setting.
  • D. Kangasala
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • E. Kokemäki
    Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49cf688448190839f574c85784c98 completed May 1, 2026, 12:30 p.m.
Created at: April 8, 2026, 9:45 p.m.