Triple

T33523974
Position Surface form Disambiguated ID Type / Status
Subject Bushehr Nuclear Power Plant E858584 entity
Predicate initialConstructionCompany P63332 FINISHED
Object Kraftwerk Union
Kraftwerk Union was a German engineering and construction company specializing in power plant and nuclear technology projects.
E2054996 NE FINISHED

How this triple was built (3 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: Kraftwerk Union | Statement: [Bushehr Nuclear Power Plant, initialConstructionCompany, Kraftwerk Union]
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: Kraftwerk Union
Triple: [Bushehr Nuclear Power Plant, initialConstructionCompany, Kraftwerk Union]
Generated description
Kraftwerk Union was a German engineering and construction company specializing in power plant and nuclear technology projects.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initialConstructionCompany
Context triple: [Bushehr Nuclear Power Plant, initialConstructionCompany, Kraftwerk Union]
  • A. constructionCompany chosen
    Indicates a relationship where an entity functions as a company engaged in construction-related activities or services for another entity or project.
  • B. constructionCompanyOrigin
    Indicates that a construction company originates from, or is based in, a particular geographic location or jurisdiction.
  • C. constructionConsortium
    Indicates a collaborative partnership formed between multiple parties to jointly undertake and manage a construction project or set of construction activities.
  • D. constructionStartedBy
    Indicates that the construction of something was initiated or begun by a particular agent or entity.
  • E. startConstruction
    Indicates that an entity initiates the process of building or constructing another entity or structure.
  • F. None of above.

Provenance (6 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_69f349781c6c819082c516b260efe7e2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fbbc49da8c8190902bbb05d2477cab completed May 6, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a35a679397881908eeeb6b1b67719ec completed June 19, 2026, 8:28 p.m.
NEDg Description generation batch_6a35a6e0c54c8190ad13408c355543ab completed June 19, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_6a35a7da68bc819090b95df78ec28e57 completed June 19, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69fbb13f34b08190bbbb220ac1e6e666 completed May 6, 2026, 9:23 p.m.
Created at: May 1, 2026, 1:39 a.m.