Triple

T10141148
Position Surface form Disambiguated ID Type / Status
Subject Vihti E231585 entity
Predicate borderedBy P224 FINISHED
Object Karkkila E840108 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: Karkkila | Statement: [Vihti, borderedBy, Karkkila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karkkila
Context triple: [Vihti, borderedBy, Karkkila]
  • A. Karkkila chosen
    Karkkila is a small town and municipality in southern Finland known for its industrial history and surrounding lakes and forests.
  • B. Kärkölä
    Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
  • C. 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.
  • D. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • E. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354f0def48190bd5fcd5820459893 completed April 6, 2026, 6:38 a.m.
Created at: March 30, 2026, 9:07 p.m.