Triple

T314742
Position Surface form Disambiguated ID Type / Status
Subject Fedora Linux E7681 entity
Predicate previouslyUsed P7341 FINISHED
Object X.Org Server as default display server 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: X.Org Server as default display server | Statement: [Fedora Linux, previouslyUsed, X.Org Server as default display server]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslyUsed
Context triple: [Fedora Linux, previouslyUsed, X.Org Server as default display server]
  • A. usedBefore chosen
    Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
  • B. usedAt
    Indicates that something is employed, applied, or utilized at a particular place, time, or context.
  • C. subsequentUse
    Indicates that one entity is used, applied, or consumed after another entity in time or sequence.
  • D. historicallyUsedFor
    Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
  • E. usedDuring
    Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea62f830819089e94b3aa3e4e187 completed Feb. 28, 2026, 1:15 p.m.
PD Predicate disambiguation batch_69a2e9428098819089d5950cd2c96dc4 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:07 p.m.