Triple

T18457222
Position Surface form Disambiguated ID Type / Status
Subject Kokemäki E450932 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Nakkila NE NERFINISHED

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: Nakkila | Statement: [Kokemäki, hasNeighbouringMunicipality, Nakkila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakkila
Context triple: [Kokemäki, hasNeighbouringMunicipality, Nakkila]
  • A. Nakkila chosen
    Nakkila is a small municipality in western Finland known for its rural landscapes and location along the Kokemäki River.
  • B. Kilkea
    Kilkea is a small village in County Kildare, Ireland, best known for its historic medieval castle and surrounding rural landscape.
  • C. Keilaniemi
    Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
  • D. Porkkala
    Porkkala is a peninsula in southern Finland that was leased to the Soviet Union as a naval base after World War II and returned to Finnish control in 1956.
  • E. Kallio
    Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264ce5948190b57baa2ea71297a9 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.