Triple

T20887019
Position Surface form Disambiguated ID Type / Status
Subject Ružinov E514308 entity
Predicate hasLandmark P105 FINISHED
Object Štrkovec Lake 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: Štrkovec Lake | Statement: [Ružinov, hasLandmark, Štrkovec Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Štrkovec Lake
Context triple: [Ružinov, hasLandmark, Štrkovec Lake]
  • A. Štrkovec Lake chosen
    Štrkovec Lake is a popular urban recreational lake in the Ružinov district of Bratislava, known for its walking paths, sports facilities, and local wildlife.
  • B. Trnovačko Lake
    Trnovačko Lake is a heart-shaped glacial lake in the mountains on the border of Montenegro and Bosnia and Herzegovina, renowned for its striking turquoise waters and scenic alpine surroundings.
  • C. Velenje Lake
    Velenje Lake is a large artificial lake in northern Slovenia known for recreation, water sports, and its scenic setting near the town of Velenje.
  • D. Vrtac Lake
    Vrtac Lake is a small natural lake located near the city of Nikšić in Montenegro, known for its scenic surroundings and local recreational use.
  • E. Bovansko Lake
    Bovansko Lake is an artificial reservoir in eastern Serbia known for its recreational opportunities such as swimming, fishing, and camping.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d058d4dc81908398f8c75e30dc77 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.