Triple

T9064341
Position Surface form Disambiguated ID Type / Status
Subject Satakunta E217205 entity
Predicate containsMunicipality P852 FINISHED
Object Säkylä E775921 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: Säkylä | Statement: [Satakunta, containsMunicipality, Säkylä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Säkylä
Context triple: [Satakunta, containsMunicipality, Säkylä]
  • A. Säkylä chosen
    Säkylä is a municipality in southwestern Finland known for its rural landscapes, proximity to Lake Pyhäjärvi, and military garrison.
  • B. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • C. Kärkölä
    Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
  • D. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • E. Miehikkälä
    Miehikkälä is a small rural municipality in southeastern Finland known for its forests, lakes, and World War II-era Salpa Line fortifications.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054413cd881908bd4aca6a69ef663 completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 7:11 p.m.