Triple

T9408279
Position Surface form Disambiguated ID Type / Status
Subject Baden railway station E226640 entity
Predicate connectsTo P845 FINISHED
Object Brugg AG
Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
 E797306 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: Brugg AG | Statement: [Baden railway station, connectsTo, Brugg AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brugg AG
Context triple: [Baden railway station, connectsTo, Brugg AG]
  • A. Baselland Transport
    Baselland Transport is a Swiss public transport company that operates tram and bus services in the Basel region and surrounding areas.
  • B. Semperit
    Semperit is a tire and rubber products brand owned by the German automotive supplier Continental AG.
  • C. C. Lorenz AG
    C. Lorenz AG was a German electronics and communications company known for pioneering radio, radar, and navigation systems, including the influential Lorenz beam landing aid.
  • D. Aral AG
    Aral AG is a major German brand of fuel stations and petroleum products, widely recognized for its network of service stations across Germany.
  • E. Bühler
    Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
  • 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: Brugg AG
Triple: [Baden railway station, connectsTo, Brugg AG]
Generated description
Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brugg AG
Target entity description: Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
  • A. Baselland Transport
    Baselland Transport is a Swiss public transport company that operates tram and bus services in the Basel region and surrounding areas.
  • B. Semperit
    Semperit is a tire and rubber products brand owned by the German automotive supplier Continental AG.
  • C. C. Lorenz AG
    C. Lorenz AG was a German electronics and communications company known for pioneering radio, radar, and navigation systems, including the influential Lorenz beam landing aid.
  • D. Aral AG
    Aral AG is a major German brand of fuel stations and petroleum products, widely recognized for its network of service stations across Germany.
  • E. Bühler
    Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5252b3fc8190b0808a10987728c8 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a0bc9c819089f7c422b4222f8e completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1082f41b48190b8588bb986028f59 completed April 4, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d108be82888190b0ec08119cd00b68 completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:47 p.m.