Triple

T21902273
Position Surface form Disambiguated ID Type / Status
Subject Slagsta ferry E540837 entity
Predicate crosses P416 FINISHED
Object Mälaren 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: Mälaren | Statement: [Slagsta ferry, crosses, Mälaren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mälaren
Context triple: [Slagsta ferry, crosses, Mälaren]
  • A. Lake Mälaren chosen
    Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
  • B. Lake Vänern
    Lake Vänern is Sweden’s largest lake and one of Europe’s biggest freshwater lakes, known for its extensive archipelagos and important role in regional ecology and transportation.
  • C. Lake Vättern
    Lake Vättern is Sweden’s second-largest lake, a deep, elongated freshwater body in south-central Sweden known for its clear waters and surrounding historic towns.
  • D. Lake Oresjön
    Lake Oresjön is a Swedish lake situated within the Siljan Ring impact crater region, known for its scenic natural surroundings and geological significance.
  • E. Vättern
    Vättern is Sweden's second-largest lake, renowned for its clear waters and surrounding historic towns and landscapes.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d2d63c819090e115708aa4dbf8 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:24 p.m.