Triple

T7980484
Position Surface form Disambiguated ID Type / Status
Subject System Restore E185557 entity
Predicate restorePointType P33684 FINISHED
Object system state snapshot LITERAL 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: system state snapshot | Statement: [System Restore, restorePointType, system state snapshot]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restorePointType
Context triple: [System Restore, restorePointType, system state snapshot]
  • A. restorationType
    Indicates the specific kind or category of restoration applied to an entity, such as the method, scope, or approach used to return it to a prior or improved state.
  • B. snapshotType chosen
    Indicates the specific kind or category of snapshot associated with an entity or event.
  • C. restorationGoal
    Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
  • D. resetType
    Indicates the specific kind or method of reset applied to an entity, process, or system state.
  • E. restoredBy
    Indicates that an entity has been returned to a previous or improved state through the actions or intervention of another entity.
  • F. None of above.

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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c274ce48190854d389d43ce14b8 completed March 31, 2026, 3:14 a.m.
PD Predicate disambiguation batch_69cb048009a08190b4c577208a9f8f76 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:15 p.m.