Triple

T17669650
Position Surface form Disambiguated ID Type / Status
Subject AlphaServer DS20 E440485 entity
Predicate productLine P3585 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: [AlphaServer DS20, productLine, AlphaServer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AlphaServer
Context triple: [AlphaServer DS20, productLine, 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 chosen
    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 DS25
    AlphaServer DS25 is a mid-range 64-bit DEC Alpha-based server system designed for high-performance, mission-critical enterprise computing workloads.
  • D. 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.
  • E. AlphaServer 8400
    AlphaServer 8400 is a high-end, 64-bit RISC-based enterprise server from Digital Equipment Corporation’s AlphaServer line, designed for demanding commercial 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f67f6188190a978c7c9f462064d completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:59 a.m.