Triple

T11272956
Position Surface form Disambiguated ID Type / Status
Subject Ludvika E266858 entity
Predicate majorEmployer P588 FINISHED
Object Hitachi Energy E811083 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: Hitachi Energy | Statement: [Ludvika, majorEmployer, Hitachi Energy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hitachi Energy
Context triple: [Ludvika, majorEmployer, Hitachi Energy]
  • A. Hitachi Energy chosen
    Hitachi Energy is a global technology company specializing in power grids and energy solutions, formed as a joint venture between Hitachi and ABB to support the transition to sustainable energy systems.
  • 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. 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.
  • D. Eurelectric
    Eurelectric is the pan-European industry association representing the interests of the electricity sector and power companies across Europe.
  • E. E.ON
    E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f43633948190b86f5603ac50ec47 completed April 19, 2026, 3:26 p.m.
Created at: April 8, 2026, 9:31 p.m.