Triple

T10307352
Position Surface form Disambiguated ID Type / Status
Subject HPE StoreEver E241798 entity
Predicate supportsStandard P1587 FINISHED
Object LTO-8 E854378 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: LTO-8 | Statement: [HPE StoreEver, supportsStandard, LTO-8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTO-8
Context triple: [HPE StoreEver, supportsStandard, LTO-8]
  • A. Maxtor Tower
    Maxtor Tower is a historic defensive tower that forms part of the medieval fortifications of Nuremberg, Germany.
  • B. PowerVault
    PowerVault is Dell's line of data storage systems designed for small to medium-sized businesses and enterprise environments.
  • C. HPE StoreEver
    HPE StoreEver is a family of enterprise tape storage solutions designed for high-capacity data backup, archiving, and long-term retention.
  • D. Linear Tape-Open chosen
    Linear Tape-Open (LTO) is an open-standard magnetic tape data storage technology widely used for high-capacity backup, archiving, and long-term data preservation in enterprise environments.
  • E. Avamar
    Avamar is EMC Corporation’s enterprise data backup and recovery software solution known for its source-based data deduplication technology.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d328272c8190a3548d7f7f38cfc4 completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75026fb0881908e4d16b3fde531c0 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:46 a.m.