Triple

T2591916
Position Surface form Disambiguated ID Type / Status
Subject Tikkakoski Air Base E58140 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: [Tikkakoski Air Base, locatedIn, Tikkakoski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tikkakoski
Context triple: [Tikkakoski Air Base, 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. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Kainuu
    Kainuu is a sparsely populated region in eastern Finland known for its forests, lakes, and traditional Finnish rural culture.
  • E. Penteli
    Penteli is a suburban town and mountainous area in the northern part of the Athens metropolitan region in Greece, known for its marble quarries and natural landscapes.
  • 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_69af907835188190914a241e8bdf0d4f completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:49 p.m.