Triple

T8596433
Position Surface form Disambiguated ID Type / Status
Subject Eskilstuna E203558 entity
Predicate locatedBetween P1262 FINISHED
Object Lake Hjälmaren E339287 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 Hjälmaren | Statement: [Eskilstuna, locatedBetween, Lake Hjälmaren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Hjälmaren
Context triple: [Eskilstuna, locatedBetween, Lake Hjälmaren]
  • A. Lake Hjälmaren chosen
    Lake Hjälmaren is one of Sweden’s largest lakes, located in central Sweden east of Lake Vänern and west of Stockholm.
  • 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 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.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c945dc8190a313c61c0db46187 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebba872b8819098ba7525944bcce1 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:23 p.m.