Triple

T2591940
Position Surface form Disambiguated ID Type / Status
Subject Tikkakoski Air Base E58140 entity
Predicate hasNearbyCity P350 FINISHED
Object Jyväskylä E77953 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: Jyväskylä | Statement: [Tikkakoski Air Base, hasNearbyCity, Jyväskylä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jyväskylä
Context triple: [Tikkakoski Air Base, hasNearbyCity, Jyväskylä]
  • A. Jyväskylä chosen
    Jyväskylä is a central Finnish city known for its lakeside setting, strong educational institutions, and association with architect Alvar Aalto.
  • B. Joensuu
    Joensuu is a city in eastern Finland that serves as a regional center for North Karelia, known for its university, forestry industry, and proximity to lakes and forests.
  • C. Lahti
    Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
  • D. Kuopio
    Kuopio is a city in eastern Finland known for its lakeside setting, vibrant cultural life, and status as a regional center for education and commerce.
  • E. Tampere
    Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd425851c819088db89713c07056f completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b367dc88ac81909e73e290c745b8be completed March 13, 2026, 1:26 a.m.
Created at: March 6, 2026, 9:49 p.m.