Triple

T16076417
Position Surface form Disambiguated ID Type / Status
Subject HPE Cray EX E389989 entity
Predicate partOf P40 FINISHED
Object HPE Cray product line E389989 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: HPE Cray product line | Statement: [HPE Cray EX, partOf, HPE Cray product line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HPE Cray product line
Context triple: [HPE Cray EX, partOf, HPE Cray product line]
  • A. HPE Cray EX chosen
    HPE Cray EX is a high-performance computing system architecture designed by Hewlett Packard Enterprise for large-scale supercomputers and exascale systems.
  • B. Cray Urika-GX
    Cray Urika-GX is a high-performance analytics platform that combines supercomputing, big data, and graph analytics capabilities for large-scale data analysis.
  • C. Cray XC30
    The Cray XC30 is a high-performance supercomputer system designed for large-scale scientific and engineering computing, featuring advanced scalability and energy-efficient architecture.
  • D. Cray
    Cray is a pioneering American company renowned for designing and manufacturing high-performance supercomputers used in scientific research, government, and industry.
  • E. Cray XC40
    The Cray XC40 is a high-performance supercomputing system designed for large-scale scientific and engineering workloads in research and enterprise environments.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c27aac81909c56d200c0c51a0c completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48907148190ab04520717141788 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.