Triple

T6603003
Position Surface form Disambiguated ID Type / Status
Subject Åkersberga E149045 entity
Predicate hasRailwayStation P918 FINISHED
Object Åkers Runö station E607300 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: Åkers Runö station | Statement: [Åkersberga, hasRailwayStation, Åkers Runö station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åkers Runö station
Context triple: [Åkersberga, hasRailwayStation, Åkers Runö station]
  • A. Åkersberga station chosen
    Åkersberga station is a local commuter rail stop on the Roslagsbanan narrow-gauge railway serving the suburban town of Åkersberga in Österåker Municipality, Sweden.
  • B. Sundbyberg station
    Sundbyberg station is a major public transport hub in the Stockholm area, serving as a stop for commuter trains, the metro, and local buses.
  • C. Solna Station
    Solna Station is a major commuter rail and metro hub in Solna, just north of central Stockholm, Sweden.
  • D. Södertälje Centrum Station
    Södertälje Centrum Station is a key transit hub in Södertälje, Sweden, serving as an important stop on the Stockholm commuter rail network.
  • E. Stockholm Odenplan Station
    Stockholm Odenplan Station is a major underground transit hub in central Stockholm that serves as a key interchange for commuter rail, metro, and bus services.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af10303081909541a140f8898979 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eee20e1081908415cb505652b03f completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:56 p.m.