Triple

T22164707
Position Surface form Disambiguated ID Type / Status
Subject S41 line E547760 entity
Predicate terminus P388 FINISHED
Object Koblenz AG 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: Koblenz AG | Statement: [S41 line, terminus, Koblenz AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koblenz AG
Context triple: [S41 line, terminus, Koblenz AG]
  • A. Koblenz AG chosen
    Koblenz AG is a railway station in the Swiss canton of Aargau that serves as a stop on regional S-Bahn services, including the S41 line.
  • B. Schenker AG
    Schenker AG is a global logistics and freight forwarding company headquartered in Germany and operating under the DB Schenker brand.
  • C. Stein AG
    Stein AG is a Swiss municipality in the canton of Aargau, located in the Fricktal region near the German border.
  • D. Wallbach AG
    Wallbach AG is a small Swiss municipality located in the Fricktal region of the canton of Aargau.
  • E. 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.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a309d8081908f4540fe2da63010 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:34 p.m.