Triple

T15597352
Position Surface form Disambiguated ID Type / Status
Subject EWE Baskets Oldenburg E374936 entity
Predicate sponsor P67 FINISHED
Object EWE AG
EWE AG is a German energy and telecommunications company that provides electricity, natural gas, and related services, primarily in northern Germany.
 E1166495 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: EWE AG | Statement: [EWE Baskets Oldenburg, sponsor, EWE AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EWE AG
Context triple: [EWE Baskets Oldenburg, sponsor, EWE AG]
  • A. S7 Cargo
    S7 Cargo is the air freight and logistics division of Russia’s S7 Group, providing cargo transportation services on the airline’s route network.
  • B. 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.
  • C. Insel Gruppe AG
    Insel Gruppe AG is a major Swiss hospital network and healthcare provider based in Bern.
  • D. Eurowings
    Eurowings is a German low-cost airline and Lufthansa subsidiary that operates short- and long-haul flights across Europe and selected international destinations.
  • E. S7 Airlines
    S7 Airlines is a major Russian airline based in Novosibirsk that operates extensive domestic and international routes, particularly across Russia, Europe, and Asia.
  • 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: EWE AG
Triple: [EWE Baskets Oldenburg, sponsor, EWE AG]
Generated description
EWE AG is a German energy and telecommunications company that provides electricity, natural gas, and related services, primarily in northern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EWE AG
Target entity description: EWE AG is a German energy and telecommunications company that provides electricity, natural gas, and related services, primarily in northern Germany.
  • A. S7 Cargo
    S7 Cargo is the air freight and logistics division of Russia’s S7 Group, providing cargo transportation services on the airline’s route network.
  • B. 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.
  • C. Insel Gruppe AG
    Insel Gruppe AG is a major Swiss hospital network and healthcare provider based in Bern.
  • D. Eurowings
    Eurowings is a German low-cost airline and Lufthansa subsidiary that operates short- and long-haul flights across Europe and selected international destinations.
  • E. S7 Airlines
    S7 Airlines is a major Russian airline based in Novosibirsk that operates extensive domestic and international routes, particularly across Russia, Europe, and Asia.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e609ab081909feb486a57439960 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ccc40c8190a3b1339404e6897f completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff581a25008190b7be08a93d798522 completed May 9, 2026, 3:51 p.m.
NED2 Entity disambiguation (via description) batch_69ff58ad35108190a0549d3d81e6851e completed May 9, 2026, 3:54 p.m.
Created at: April 10, 2026, 4:12 a.m.