Triple

T27730849
Position Surface form Disambiguated ID Type / Status
Subject SINIX E697425 entity
Predicate intendedHardware P55922 FINISHED
Object Siemens hardware platforms
Siemens hardware platforms are proprietary computer systems and architectures developed by Siemens for running its operating systems and industrial and enterprise applications.
 E1786402 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: Siemens hardware platforms | Statement: [SINIX, intendedHardware, Siemens hardware platforms]
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: Siemens hardware platforms
Triple: [SINIX, intendedHardware, Siemens hardware platforms]
Generated description
Siemens hardware platforms are proprietary computer systems and architectures developed by Siemens for running its operating systems and industrial and enterprise applications.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: intendedHardware
Context triple: [SINIX, intendedHardware, Siemens hardware platforms]
  • A. intendedEquipmentType
    Indicates that a particular piece of equipment is the planned or designated type to be used in a given context or activity.
  • B. hardwarePlatformFor chosen
    Indicates that one entity serves as the hardware platform on which another entity is designed to run or be deployed.
  • C. hardwareUsed
    Indicates that a particular piece of hardware is utilized or employed in performing an action, process, or function involving another entity.
  • D. hasHardwareCompatibilityWith
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • E. hardwareUsedBy
    Indicates that a piece of hardware is utilized or operated by a particular entity (such as a person, system, or organization).
  • 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_69ef590c3e288190ad54d2465af8ca4e completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12e471832081909a1579131c889c1a completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e4fca4088190b20187243cbf974e completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e606bc688190958b5e84777566fb completed May 24, 2026, 11:50 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
Created at: April 27, 2026, 3:11 p.m.