Triple

T13710706
Position Surface form Disambiguated ID Type / Status
Subject Växjö E328762 entity
Predicate hasRailwayStation P918 FINISHED
Object Växjö Central Station E361244 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: Växjö Central Station | Statement: [Växjö, hasRailwayStation, Växjö Central Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Växjö Central Station
Context triple: [Växjö, hasRailwayStation, Växjö Central Station]
  • A. Växjö Central Station chosen
    Växjö Central Station is the main railway station and transportation hub serving the city of Växjö in southern Sweden.
  • B. Sundsvall Central Station
    Sundsvall Central Station is the main railway hub serving the city of Sundsvall in northern Sweden, providing regional and long-distance train connections.
  • C. Gävle Central Station
    Gävle Central Station is a major railway hub in eastern Sweden that serves the city of Gävle with regional and long-distance train connections.
  • D. Skövde Central Station
    Skövde Central Station is the main railway station in the town of Skövde, Sweden, functioning as a regional transport hub with frequent passenger rail connections.
  • E. Östersund Central Station
    Östersund Central Station is the main railway station serving the city of Östersund in central Sweden, functioning as a regional transport hub for passenger and rail connections.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d54a68081908df25edf6d5df362 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.