Triple

T20202611
Position Surface form Disambiguated ID Type / Status
Subject Brunnsviken E493261 entity
Predicate connectedTo P37 FINISHED
Object Lilla Värtan 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: Lilla Värtan | Statement: [Brunnsviken, connectedTo, Lilla Värtan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilla Värtan
Context triple: [Brunnsviken, connectedTo, Lilla Värtan]
  • A. Lilla Värtan chosen
    Lilla Värtan is a narrow strait in the inner Stockholm archipelago that separates the island of Lidingö from mainland Stockholm.
  • B. Stora Värtan
    Stora Värtan is a bay of the Baltic Sea in the Stockholm archipelago, known for its coastal residential areas, marinas, and recreational boating.
  • C. Vättern
    Vättern is Sweden's second-largest lake, renowned for its clear waters and surrounding historic towns and landscapes.
  • D. Siljan
    Siljan is a small rural municipality in Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
  • E. Siljan
    Siljan is a lake in Telemark, Norway, known for its scenic surroundings and proximity to the town of Skien.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8ec73c8190b630599c5ceb22ac completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.