Triple

T18301645
Position Surface form Disambiguated ID Type / Status
Subject Tru64 UNIX E438370 entity
Predicate platform P1292 FINISHED
Object AlphaServer 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: AlphaServer | Statement: [Tru64 UNIX, platform, AlphaServer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AlphaServer
Context triple: [Tru64 UNIX, platform, AlphaServer]
  • A. 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.
  • B. AlphaServer DS20
    The AlphaServer DS20 is a mid-range 64-bit DEC Alpha-based server system designed for high-performance technical and enterprise computing workloads.
  • C. AlphaServer DS series chosen
    The AlphaServer DS series is a line of mid-range 64-bit DEC/Compaq servers based on the Alpha processor architecture, designed for high-performance enterprise and technical computing.
  • D. AlphaServer DS25
    AlphaServer DS25 is a mid-range 64-bit DEC Alpha-based server system designed for high-performance, mission-critical enterprise computing workloads.
  • E. AlphaServer GS140
    AlphaServer GS140 is a high-performance 64-bit RISC server from Digital/Compaq’s AlphaServer line, designed for demanding enterprise and technical computing workloads.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.