Triple

T21129117
Position Surface form Disambiguated ID Type / Status
Subject Wärtsilä E520635 entity
Predicate hasDivision P35 FINISHED
Object Wärtsilä Energy NE NERFINISHED

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: Wärtsilä Energy | Statement: [Wärtsilä, hasDivision, Wärtsilä Energy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wärtsilä Energy
Context triple: [Wärtsilä, hasDivision, Wärtsilä Energy]
  • A. Wärtsilä chosen
    Wärtsilä is a Finnish technology company best known for manufacturing marine and energy power solutions, including ship engines and specialized vessels.
  • B. Siemens Energy
    Siemens Energy is a global energy technology company specializing in power generation, transmission, and related services for conventional and renewable energy systems.
  • C. Ørsted
    Ørsted is a small Danish town located in Norddjurs Municipality on the Jutland peninsula.
  • D. Ørsted
    Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
  • E. Fortum
    Fortum is a Finnish state-owned energy company that focuses on electricity generation, district heating, and related energy services across the Nordic and Baltic regions, Poland, and India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223b4c4c8190b9fffa610588651e completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.