Triple

T20485731
Position Surface form Disambiguated ID Type / Status
Subject Lake Pielinen E502587 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Lieksa 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: Lieksa | Statement: [Lake Pielinen, hasShorelineSettlement, Lieksa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lieksa
Context triple: [Lake Pielinen, hasShorelineSettlement, Lieksa]
  • A. Lieksa chosen
    Lieksa is a small town and municipality in eastern Finland known for its forests, lakes, and proximity to Koli National Park.
  • B. Koidula
    Koidula is a railway junction and border station in southeastern Estonia that serves as a key transit point near the Russian and Latvian borders.
  • C. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • D. Kilkea
    Kilkea is a small village in County Kildare, Ireland, best known for its historic medieval castle and surrounding rural landscape.
  • E. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5aac208190956c7fd935578d60 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.