Triple

T21005607
Position Surface form Disambiguated ID Type / Status
Subject KUKA E517405 entity
Predicate nameDerivedFrom P63 FINISHED
Object Keller und Knappich Augsburg 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: Keller und Knappich Augsburg | Statement: [KUKA, nameDerivedFrom, Keller und Knappich Augsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keller und Knappich Augsburg
Context triple: [KUKA, nameDerivedFrom, Keller und Knappich Augsburg]
  • A. Keller und Knappich Augsburg chosen
    Keller und Knappich Augsburg is the original German engineering firm whose name forms the acronym KUKA, now known as a leading industrial robotics and automation company.
  • B. Auerbach in der Oberpfalz
    Auerbach in der Oberpfalz is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic mining industry and picturesque Franconian landscape.
  • C. Jahn Regensburg
    Jahn Regensburg is a German professional football club based in Regensburg, Bavaria, that competes in the country’s league system.
  • D. Roggendorf
    Roggendorf is a village and district within the town of Mechernich in North Rhine-Westphalia, Germany.
  • E. Remise Kleinmünchen
    Remise Kleinmünchen is a tram depot facility serving the public transport system in Linz, Austria.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3b25ec8190aa4530d1f0bb2b9e completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.