Triple

T17404914
Position Surface form Disambiguated ID Type / Status
Subject Daimler Truck AG E423187 entity
Predicate brand P1500 FINISHED
Object Setra 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: Setra | Statement: [Daimler Truck AG, brand, Setra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Setra
Context triple: [Daimler Truck AG, brand, Setra]
  • A. Setra chosen
    Setra is a German brand of premium coaches and buses known for its high-quality engineering and comfort, produced by Daimler AG.
  • B. Moorenweis
    Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
  • C. Elstra
    Elstra is a small town in the Bautzen district of the German federal state of Saxony.
  • D. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • E. Ersa
    Ersa is a minor figure in Greek mythology known as the personification of dew, traditionally regarded as a daughter of the Moon goddess Selene.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b068248819088871d79f8a38f30 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.