Triple

T11427488
Position Surface form Disambiguated ID Type / Status
Subject PowerFlex E270790 entity
Predicate hasVariant P455 FINISHED
Object PowerFlex 523 E270790 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: PowerFlex 523 | Statement: [PowerFlex, hasVariant, PowerFlex 523]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PowerFlex 523
Context triple: [PowerFlex, hasVariant, PowerFlex 523]
  • A. PowerFlex chosen
    PowerFlex is a Rockwell Automation product line of variable frequency drives and motor control solutions used to regulate the speed and performance of electric motors in industrial applications.
  • B. Kinetix
    Kinetix is Rockwell Automation’s line of motion control products and servo drives used for precise, integrated industrial automation.
  • C. Siemens Nexas
    Siemens Nexas is a class of electric multiple unit trains used for suburban passenger services on Melbourne’s metropolitan rail network.
  • D. Siemens Avanto
    Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
  • E. Siemens Inspiro
    Siemens Inspiro is a modern, modular metro train platform developed by Siemens for urban rapid transit systems worldwide.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624600e0081909cc6f53c05a34efb completed April 20, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:35 p.m.