Triple

T1975448
Position Surface form Disambiguated ID Type / Status
Subject Walney Wind Farm E42899 entity
Predicate operator P179 FINISHED
Object Ørsted
Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
 E222419 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: Ørsted | Statement: [Walney Wind Farm, operator, Ørsted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ørsted
Context triple: [Walney Wind Farm, operator, Ørsted]
  • A. EDF Renewables
    EDF Renewables is a global renewable energy company specializing in the development, construction, and operation of wind, solar, and energy storage projects.
  • B. Engie
    Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
  • C. Areva
    Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
  • D. GE Vernova
    GE Vernova is General Electric’s energy-focused business, encompassing power generation, grid, and renewable energy technologies and services.
  • E. Vistra Corp
    Vistra Corp is a large U.S. integrated retail electricity and power generation company.
  • 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: Ørsted
Triple: [Walney Wind Farm, operator, Ørsted]
Generated description
Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ørsted
Target entity description: Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
  • A. EDF Renewables
    EDF Renewables is a global renewable energy company specializing in the development, construction, and operation of wind, solar, and energy storage projects.
  • B. Engie
    Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
  • C. Areva
    Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
  • D. GE Vernova
    GE Vernova is General Electric’s energy-focused business, encompassing power generation, grid, and renewable energy technologies and services.
  • E. Vistra Corp
    Vistra Corp is a large U.S. integrated retail electricity and power generation company.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f835108190b0709ccf3a487a96 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0327600c8190adb057b596a84bca completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03b41dcc81909b4439006bdffc64 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae044314188190a7472cf5f8e89f6c completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:36 p.m.