Triple

T19822136
Position Surface form Disambiguated ID Type / Status
Subject Arenastaden E476220 entity
Predicate hasLandmark P105 FINISHED
Object Solna Station NE NERFINISHED

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: Solna Station | Statement: [Arenastaden, hasLandmark, Solna Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solna Station
Context triple: [Arenastaden, hasLandmark, Solna Station]
  • A. Solna Station chosen
    Solna Station is a major commuter rail and metro hub in Solna, just north of central Stockholm, Sweden.
  • B. Stockholm Södra Station
    Stockholm Södra Station is a central commuter rail station in Stockholm, Sweden, serving as a key stop just south of the city center.
  • C. 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.
  • D. Stockholm Östra station
    Stockholm Östra station is a key commuter railway station in central Stockholm serving as the main city terminus for the narrow-gauge Roslagsbanan network.
  • E. Stockholm City Station
    Stockholm City Station is a major underground railway station in central Stockholm that serves as a key interchange point for the city’s commuter rail network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654ffb37c8190be540a793befe16c completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.