Triple

T1467874
Position Surface form Disambiguated ID Type / Status
Subject Engie E27065 entity
Predicate hasSubsidiary P254 FINISHED
Object Storengy
Storengy is a leading European company specializing in the underground storage of natural gas and the development of geothermal and low-carbon energy solutions.
 E166783 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: Storengy | Statement: [Engie, hasSubsidiary, Storengy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Storengy
Context triple: [Engie, hasSubsidiary, Storengy]
  • A. Crater
    Crater is a historic district and port area in the city of Aden, Yemen, known for its location within an ancient volcanic crater and its role as a commercial and administrative center.
  • B. Tonnerre
    Tonnerre is a historic commune in the Yonne department of Bourgogne-Franche-Comté in north-central France, known for its medieval heritage and notable residents.
  • C. Dynamo
    Dynamo is a prominent Russian sports club based in Moscow, best known for its professional football and ice hockey teams.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Viadrus
    Viadrus is the ancient Latin name historically used to refer to the Oder River in Central Europe.
  • 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: Storengy
Triple: [Engie, hasSubsidiary, Storengy]
Generated description
Storengy is a leading European company specializing in the underground storage of natural gas and the development of geothermal and low-carbon energy solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Storengy
Target entity description: Storengy is a leading European company specializing in the underground storage of natural gas and the development of geothermal and low-carbon energy solutions.
  • A. Crater
    Crater is a historic district and port area in the city of Aden, Yemen, known for its location within an ancient volcanic crater and its role as a commercial and administrative center.
  • B. Tonnerre
    Tonnerre is a historic commune in the Yonne department of Bourgogne-Franche-Comté in north-central France, known for its medieval heritage and notable residents.
  • C. Dynamo
    Dynamo is a prominent Russian sports club based in Moscow, best known for its professional football and ice hockey teams.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Viadrus
    Viadrus is the ancient Latin name historically used to refer to the Oder River in Central Europe.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d70a948190b50a6c1b36abc740 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7e7f848190a8abcb73e89e8e34 completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0f0b145c8190b08af9a6a3325c23 completed March 8, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad0f9380648190b4db1b9c92f37831 completed March 8, 2026, 5:56 a.m.
Created at: March 1, 2026, 8:01 p.m.