Triple

T22463223
Position Surface form Disambiguated ID Type / Status
Subject AVEVA E555281 entity
Predicate offersProduct P10882 FINISHED
Object AVEVA System Platform 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 System Platform | Statement: [AVEVA, offersProduct, AVEVA System Platform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AVEVA System Platform
Context triple: [AVEVA, offersProduct, AVEVA System Platform]
  • 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. Logix 5000 control platform
    The Logix 5000 control platform is Rockwell Automation’s integrated family of programmable automation controllers and software designed for complex industrial control, motion, safety, and process applications.
  • C. Siemens Avanto
    Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
  • D. Siemens Nexas
    Siemens Nexas is a class of electric multiple unit trains used for suburban passenger services on Melbourne’s metropolitan rail network.
  • E. AquaLogic Pathways
    AquaLogic Pathways is a BEA AquaLogic product module that provides business process and workflow management capabilities within the AquaLogic SOA platform.
  • 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.