Triple

T10562283
Position Surface form Disambiguated ID Type / Status
Subject Al Bano and Romina Power E249247 entity
Predicate hasNationalityOfMembers P19946 FINISHED
Object Italian 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: Italian | Statement: [Al Bano and Romina Power, hasNationalityOfMembers, Italian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNationalityOfMembers
Context triple: [Al Bano and Romina Power, hasNationalityOfMembers, Italian]
  • A. countryOfOriginOfMembers chosen
    Indicates that one entity is the country from which the members of another entity originate.
  • B. hasOriginalMemberNation
    Indicates that an entity was among the founding or initial member nations of another entity, such as an organization or alliance.
  • C. hasNonRegionalMemberCountries
    Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
  • D. countryMembers
    Indicates that certain entities are members or constituent parts of a specified country.
  • E. hasRegionalOrganizationMembershipViaConstituents
    Indicates that an entity is considered a member of a regional organization indirectly, by virtue of its constituent parts or sub-entities holding that membership.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527212dd081908629d91ce08f96a0 completed April 7, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69d51901ff6c819095e7b528170a69dc completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:36 p.m.