Triple

T23002695
Position Surface form Disambiguated ID Type / Status
Subject Beautiful Day E572673 entity
Predicate helpedRevitalize P58631 FINISHED
Object U2 global popularity in early 2000s 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: U2 global popularity in early 2000s | Statement: [Beautiful Day, helpedRevitalize, U2 global popularity in early 2000s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: helpedRevitalize
Context triple: [Beautiful Day, helpedRevitalize, U2 global popularity in early 2000s]
  • A. revitalizationType
    Indicates the specific kind or category of revitalization process that is being applied to or associated with an entity.
  • B. revitalizationEffort
    Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
  • C. isRevitalizationOf
    Indicates that one entity is a renewed, restored, or modernized version of another, bringing it back into active or improved condition.
  • D. goalOfRevitalization
    Indicates an effort or initiative aimed at restoring, renewing, or strengthening something that has declined or weakened.
  • E. revitalizationAgent chosen
    Indicates that an entity serves to restore, refresh, or renew another entity’s condition, function, or vitality.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183549bdc81908fdcd44e2c92f7c4 completed April 29, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69ef3b9cd5488190bcd23183179f48cd completed April 27, 2026, 10:34 a.m.
Created at: April 17, 2026, 3:50 p.m.