Triple

T22164710
Position Surface form Disambiguated ID Type / Status
Subject S41 line E547760 entity
Predicate via P5680 FINISHED
Object Rekingen AG
Rekingen AG is a railway station in the canton of Aargau, Switzerland, served by the S41 line of the Zürich S-Bahn network.
 E1523597 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: Rekingen AG | Statement: [S41 line, via, Rekingen AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rekingen AG
Context triple: [S41 line, via, Rekingen AG]
  • A. Schenker AG
    Schenker AG is a global logistics and freight forwarding company headquartered in Germany and operating under the DB Schenker brand.
  • B. Hausen AG
    Hausen AG is a municipality in the canton of Aargau in northern Switzerland.
  • C. Ankogel Group
    The Ankogel Group is a subrange of the Austrian Alps known for its high peaks, glaciated terrain, and popular mountaineering and skiing areas.
  • D. Insel Gruppe AG
    Insel Gruppe AG is a major Swiss hospital network and healthcare provider based in Bern.
  • E. Renk AG
    Renk AG is a German engineering company specializing in high-performance transmissions, gear units, and drive technology for military and industrial applications.
  • 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: Rekingen AG
Triple: [S41 line, via, Rekingen AG]
Generated description
Rekingen AG is a railway station in the canton of Aargau, Switzerland, served by the S41 line of the Zürich S-Bahn network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rekingen AG
Target entity description: Rekingen AG is a railway station in the canton of Aargau, Switzerland, served by the S41 line of the Zürich S-Bahn network.
  • A. Schenker AG
    Schenker AG is a global logistics and freight forwarding company headquartered in Germany and operating under the DB Schenker brand.
  • B. Hausen AG
    Hausen AG is a municipality in the canton of Aargau in northern Switzerland.
  • C. Ankogel Group
    The Ankogel Group is a subrange of the Austrian Alps known for its high peaks, glaciated terrain, and popular mountaineering and skiing areas.
  • D. Insel Gruppe AG
    Insel Gruppe AG is a major Swiss hospital network and healthcare provider based in Bern.
  • E. Renk AG
    Renk AG is a German engineering company specializing in high-performance transmissions, gear units, and drive technology for military and industrial applications.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a309d8081908f4540fe2da63010 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ebeab0081908baf171fd1e7b241 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0aa2c897f481908f379e8b956b6cfc completed May 18, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa3313bb88190b1223ee5268bc859 completed May 18, 2026, 5:27 a.m.
Created at: April 16, 2026, 8:34 p.m.