Triple

T18301646
Position Surface form Disambiguated ID Type / Status
Subject Tru64 UNIX E438370 entity
Predicate platform P1292 FINISHED
Object AlphaStation
AlphaStation is a line of DEC workstations built around the Alpha processor architecture, commonly used for high-performance technical and scientific computing.
E1317962 NE FINISHED

How this triple was built (4 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: AlphaStation | Statement: [Tru64 UNIX, platform, AlphaStation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AlphaStation
Context triple: [Tru64 UNIX, platform, AlphaStation]
  • A. Channel Rack
    Channel Rack is a core FL Studio interface panel used to organize and sequence instruments, samples, and step patterns in a project.
  • B. G-Host
    G-Host is a studio album by American rapper Styles P that showcases his gritty lyricism and street-conscious themes.
  • C. Arris
    Arris is a telecommunications equipment and technology company best known for producing broadband, video, and networking solutions such as cable modems and set-top boxes.
  • D. Wyse
    Wyse is an alternative spelling of the surname Wise, which is borne by various individuals and businesses.
  • E. AlphaServer DS10
    The AlphaServer DS10 is a mid-range 64-bit DEC Alpha-based server system designed for high-performance technical and enterprise computing workloads.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: AlphaStation
Triple: [Tru64 UNIX, platform, AlphaStation]
Generated description
AlphaStation is a line of DEC workstations built around the Alpha processor architecture, commonly used for high-performance technical and scientific computing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AlphaStation
Target entity description: AlphaStation is a line of DEC workstations built around the Alpha processor architecture, commonly used for high-performance technical and scientific computing.
  • A. Channel Rack
    Channel Rack is a core FL Studio interface panel used to organize and sequence instruments, samples, and step patterns in a project.
  • B. G-Host
    G-Host is a studio album by American rapper Styles P that showcases his gritty lyricism and street-conscious themes.
  • C. Arris
    Arris is a telecommunications equipment and technology company best known for producing broadband, video, and networking solutions such as cable modems and set-top boxes.
  • D. Wyse
    Wyse is an alternative spelling of the surname Wise, which is borne by various individuals and businesses.
  • E. AlphaServer DS10
    The AlphaServer DS10 is a mid-range 64-bit DEC Alpha-based server system designed for high-performance technical and enterprise computing workloads.
  • F. None of above. chosen

Provenance (5 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4bcc760819082f91ea8670a1f48 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c592f7d0819082d600901da2c2f6 completed May 13, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03c63ec8c48190bad47d423ab2cfe7 completed May 13, 2026, 12:30 a.m.
Created at: April 10, 2026, 10:35 a.m.