Triple

T10159078
Position Surface form Disambiguated ID Type / Status
Subject Undernet E233841 entity
Predicate hasPeakConcurrentUsers P8205 FINISHED
Object tens of thousands 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: tens of thousands | Statement: [Undernet, hasPeakConcurrentUsers, tens of thousands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPeakConcurrentUsers
Context triple: [Undernet, hasPeakConcurrentUsers, tens of thousands]
  • A. hasPeakHourFunction
    Indicates that something performs a specific role or behavior during peak hours of activity or usage.
  • B. hasPeakHourService
    Indicates that a service operates or is available during designated peak or high-demand hours.
  • C. usagePeak
    Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
  • D. hasPeak chosen
    Indicates that something possesses or contains a highest point, summit, or maximum value.
  • E. hasPeakAssociated
    Indicates that one entity is linked or related to a specific peak (such as a summit or maximum point) associated with it.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
PD Predicate disambiguation batch_69cd4ba795808190acc9124c98c6e40f completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:09 p.m.