Triple

T1215417
Position Surface form Disambiguated ID Type / Status
Subject Ekerö Municipality E26096 entity
Predicate locatedOn P40 FINISHED
Object Lake Mälaren E95397 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 Mälaren | Statement: [Ekerö Municipality, locatedOn, Lake Mälaren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Mälaren
Context triple: [Ekerö Municipality, locatedOn, Lake 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. Tyresö-Flaten Lake
    Tyresö-Flaten Lake is a natural lake in Tyresö Municipality, Sweden, known for its scenic surroundings and recreational opportunities such as swimming and outdoor activities.
  • C. Gulf of Bothnia
    The Gulf of Bothnia is the northernmost arm of the Baltic Sea, lying between Sweden and Finland and known for its brackish waters and extensive winter ice cover.
  • D. Lake Saimaa
    Lake Saimaa is Finland’s largest lake, a vast labyrinthine freshwater system in the southeast known for its intricate shoreline, islands, and the endangered Saimaa ringed seal.
  • E. Södertörn
    Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be059c5c8190a200f09442c22334 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f71aaa481909736d21705744341 completed March 7, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:46 p.m.