Triple

T12908774
Position Surface form Disambiguated ID Type / Status
Subject Amelia E308795 entity
Predicate hasPopularityRank P42306 FINISHED
Object top given name for girls in several English-speaking countries 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: top given name for girls in several English-speaking countries | Statement: [Amelia, hasPopularityRank, top given name for girls in several English-speaking countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPopularityRank
Context triple: [Amelia, hasPopularityRank, top given name for girls in several English-speaking countries]
  • A. peakPopularity
    Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
  • B. popularityContext chosen
    Indicates the situational or domain-specific setting in which something’s popularity or level of public favor is evaluated.
  • C. hasPopularityScope
    Indicates that the popularity of an entity is evaluated or applicable within a specified scope, context, or audience.
  • D. hasPopularityCharacteristic
    Indicates that an entity possesses a particular attribute or quality related to its level or type of popularity.
  • E. hasPopularityInfluencedBy
    Indicates that the popularity level of one entity is affected or shaped by another specified factor or 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69d96fa9b7708190a9e9fa30f59ff580 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:41 p.m.