Triple

T22463220
Position Surface form Disambiguated ID Type / Status
Subject AVEVA E555281 entity
Predicate offersProduct P10882 FINISHED
Object AVEVA E3D Design 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: AVEVA E3D Design | Statement: [AVEVA, offersProduct, AVEVA E3D Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AVEVA E3D Design
Context triple: [AVEVA, offersProduct, AVEVA E3D Design]
  • A. AVEVA chosen
    AVEVA is a global industrial software company known for its engineering and operations solutions for industries such as energy, manufacturing, and infrastructure.
  • B. PTC Creo
    PTC Creo is a professional 3D CAD software suite used for product design, engineering, and simulation across manufacturing and industrial sectors.
  • C. Saber3D
    Saber3D is a proprietary game engine developed by Saber Interactive, used to power fast-paced, visually rich first-person shooters and other modern 3D games.
  • D. MakerBot
    MakerBot is a pioneering American 3D printer manufacturer known for popularizing desktop 3D printing for consumers, educators, and professionals.
  • E. SLM Production Group
    SLM Production Group is a film production company best known for its involvement in the 1984 adventure-romance movie "Romancing the Stone."
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b819d24819084e9b1a7c596345a completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.