Triple

T2391978
Position Surface form Disambiguated ID Type / Status
Subject Dani Ardor E48962 entity
Predicate friendGroupAssociation P34598 FINISHED
Object travels with Christian’s friends to Sweden 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: travels with Christian’s friends to Sweden | Statement: [Dani Ardor, friendGroupAssociation, travels with Christian’s friends to Sweden]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: friendGroupAssociation
Context triple: [Dani Ardor, friendGroupAssociation, travels with Christian’s friends to Sweden]
  • A. hasSocialGroup chosen
    Indicates that an entity belongs to, is associated with, or participates in a particular social group or community.
  • B. socialGroupInvolved
    Indicates that a particular social group participates in, is affected by, or is otherwise involved in the specified event or situation.
  • C. socialCircle
    Indicates that one entity belongs to, or is part of, the group of people with whom another entity regularly interacts socially.
  • D. memberOf
    Indicates that an entity belongs to, is part of, or is a constituent of a larger group, organization, or collection.
  • E. affiliateOfType
    Indicates that an affiliate entity belongs to, or is categorized under, a specific type or classification.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc87587708190a7f2bc473a898bc2 completed March 7, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69abc5a1b5748190b4cd8989700f4dd2 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:57 p.m.