Triple

T15501153
Position Surface form Disambiguated ID Type / Status
Subject Drottninggatan E378955 entity
Predicate hasPublicTransportConnection P3791 FINISHED
Object Rådmansgatan metro station E434144 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: Rådmansgatan metro station | Statement: [Drottninggatan, hasPublicTransportConnection, Rådmansgatan metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rådmansgatan metro station
Context triple: [Drottninggatan, hasPublicTransportConnection, Rådmansgatan metro station]
  • A. Rådmansgatan metro station chosen
    Rådmansgatan metro station is a Stockholm Metro station on the Green line, located in the central district of Norrmalm.
  • B. Gärdet metro station
    Gärdet metro station is an underground station on Stockholm's red line serving the Gärdet district in the eastern part of the city.
  • C. Södermalm metro station
    Södermalm metro station is a public transit station serving Stockholm’s Södermalm district on the city’s metro network.
  • D. Skanstull metro station
    Skanstull metro station is a Stockholm Metro station on Södermalm that serves as a key stop on the city’s Green Line.
  • E. Näckrosen metro station
    Näckrosen metro station is a Stockholm Metro station on the Blue Line serving the Solna and Sundbyberg areas in the northern part of the city.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c345f888190be7a684f3bd86324 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:54 a.m.