Triple

T9715927
Position Surface form Disambiguated ID Type / Status
Subject E.ON E235141 entity
Predicate formerSubsidiary P6796 FINISHED
Object Uniper
Uniper is a German energy company focused on power generation and global energy trading, formed from the conventional energy business spun off from E.ON.
 E815958 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: Uniper | Statement: [E.ON, formerSubsidiary, Uniper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uniper
Context triple: [E.ON, formerSubsidiary, Uniper]
  • A. TotalEnergies
    TotalEnergies is a major French multinational energy company engaged in oil, gas, and renewable energy production and distribution worldwide.
  • B. MOL Global
    MOL Global was a Malaysian online payment solutions provider best known for acquiring the once-popular social networking site Friendster.
  • C. Equinor
    Equinor is a Norwegian state-owned energy company and one of the world’s leading producers of oil, gas, and increasingly renewable energy.
  • D. Aker BP
    Aker BP is a Norwegian oil and gas exploration and production company and one of the largest independent operators on the Norwegian Continental Shelf.
  • E. E.ON
    E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
  • 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: Uniper
Triple: [E.ON, formerSubsidiary, Uniper]
Generated description
Uniper is a German energy company focused on power generation and global energy trading, formed from the conventional energy business spun off from E.ON.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uniper
Target entity description: Uniper is a German energy company focused on power generation and global energy trading, formed from the conventional energy business spun off from E.ON.
  • A. TotalEnergies
    TotalEnergies is a major French multinational energy company engaged in oil, gas, and renewable energy production and distribution worldwide.
  • B. MOL Global
    MOL Global was a Malaysian online payment solutions provider best known for acquiring the once-popular social networking site Friendster.
  • C. Equinor
    Equinor is a Norwegian state-owned energy company and one of the world’s leading producers of oil, gas, and increasingly renewable energy.
  • D. Aker BP
    Aker BP is a Norwegian oil and gas exploration and production company and one of the largest independent operators on the Norwegian Continental Shelf.
  • E. E.ON
    E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0bb82081908e21a646f4de1a61 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f941b908190a3e27f4b6c1b3535 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a00eafc08190a2be7684fd7e9320 completed April 4, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69d1a072e08c8190a3beaf1219fa850f completed April 4, 2026, 11:36 p.m.
Created at: March 30, 2026, 8:20 p.m.