Triple

T10209073
Position Surface form Disambiguated ID Type / Status
Subject Siemens Energy E242279 entity
Predicate parentCompanyOf P254 FINISHED
Object Siemens Gamesa Renewable Energy E797968 NE FINISHED

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: Siemens Gamesa Renewable Energy | Statement: [Siemens Energy, parentCompanyOf, Siemens Gamesa Renewable Energy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens Gamesa Renewable Energy
Context triple: [Siemens Energy, parentCompanyOf, Siemens Gamesa Renewable Energy]
  • A. Siemens Wind Power chosen
    Siemens Wind Power is a division of Siemens that designs, manufactures, and services onshore and offshore wind turbines for renewable energy generation worldwide.
  • B. Vestas Wind Systems
    Vestas Wind Systems is a Danish multinational company and one of the world’s leading manufacturers and service providers of wind turbines and renewable energy solutions.
  • C. Siemens Energy
    Siemens Energy is a global energy technology company specializing in power generation, transmission, and related services for conventional and renewable energy systems.
  • D. SSE Renewables
    SSE Renewables is a UK-based renewable energy company focused on developing, owning, and operating wind and hydroelectric power assets, particularly offshore wind farms.
  • E. Ørsted
    Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395fa86cc8190b4f115b5a0f99772 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7e63c588190b239f8bdb13a3f3c completed April 8, 2026, 7:09 p.m.
Created at: April 6, 2026, 10:59 a.m.