Triple

T9456287
Position Surface form Disambiguated ID Type / Status
Subject Anders Sandøe Ørsted E228022 entity
Predicate familyName P18 FINISHED
Object Ørsted E222419 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: Ørsted | Statement: [Anders Sandøe Ørsted, familyName, Ørsted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ørsted
Context triple: [Anders Sandøe Ørsted, familyName, Ørsted]
  • A. Ørsted chosen
    Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
  • B. 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.
  • C. EDF Renewables
    EDF Renewables is a global renewable energy company specializing in the development, construction, and operation of wind, solar, and energy storage projects.
  • D. E.ON
    E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
  • E. 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.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f8f7e1481909318e473ab4d6460 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122849fec81908a8e7363d6bab4ed completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.