Triple

T8108086
Position Surface form Disambiguated ID Type / Status
Subject Kungsträdgården metro station E189275 entity
Predicate hasStationCode P1289 FINISHED
Object KUD
KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
 E712624 NE FINISHED

How this triple was built (4 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: KUD | Statement: [Kungsträdgården metro station, hasStationCode, KUD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KUD
Context triple: [Kungsträdgården metro station, hasStationCode, KUD]
  • A. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • B. KÜN
    KÜN is the vehicle registration code for the German district of Hohenlohekreis in the state of Baden-Württemberg.
  • C. KND
    KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
  • D. KU2
    KU2 is the stock ticker symbol for KUKA, a German industrial robotics and automation company.
  • E. Kuso
    Kuso is a surreal, experimental horror-comedy film directed by musician and filmmaker Flying Lotus, known for its grotesque imagery and fragmented, post-apocalyptic narrative.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KUD
Triple: [Kungsträdgården metro station, hasStationCode, KUD]
Generated description
KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KUD
Target entity description: KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • A. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • B. KÜN
    KÜN is the vehicle registration code for the German district of Hohenlohekreis in the state of Baden-Württemberg.
  • C. KND
    KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
  • D. KU2
    KU2 is the stock ticker symbol for KUKA, a German industrial robotics and automation company.
  • E. Kuso
    Kuso is a surreal, experimental horror-comedy film directed by musician and filmmaker Flying Lotus, known for its grotesque imagery and fragmented, post-apocalyptic narrative.
  • F. None of above. chosen

Provenance (5 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fa40e08190955fccec1a28eb34 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94198fdc8190bcf3c6285e52fdd3 completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc95bfb2b08190ae4bbf8fdde3165d completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc9771b6e48190bd5f45c3f8853890 completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.