Triple

T13000795
Position Surface form Disambiguated ID Type / Status
Subject Swedish Air Force F 7 Wing E322163 entity
Predicate locatedOn P40 FINISHED
Object Lake Vänern E331596 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: Lake Vänern | Statement: [Swedish Air Force F 7 Wing, locatedOn, Lake Vänern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Vänern
Context triple: [Swedish Air Force F 7 Wing, locatedOn, Lake Vänern]
  • A. Lake Vänern chosen
    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.
  • B. 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.
  • C. Lake Mälaren
    Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
  • D. Lake Hjälmaren
    Lake Hjälmaren is one of Sweden’s largest lakes, located in central Sweden east of Lake Vänern and west of Stockholm.
  • E. Storsjön
    Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9828748190b2ad9ea29180b7d3 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f6c4e081909f035260462015b1 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:46 p.m.