Triple

T16366452
Position Surface form Disambiguated ID Type / Status
Subject International Shooting Sport Federation E397447 entity
Predicate hasMemberFederationsFrom P13980 FINISHED
Object multiple 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: multiple countries | Statement: [International Shooting Sport Federation, hasMemberFederationsFrom, multiple countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMemberFederationsFrom
Context triple: [International Shooting Sport Federation, hasMemberFederationsFrom, multiple countries]
  • A. hasMemberJurisdictions
    Indicates that an administrative or organizational entity includes specific jurisdictions as its constituent members.
  • B. hasMemberOrganizationsIn
    Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
  • C. hasMemberFrom chosen
    Indicates that a group, organization, or collection includes at least one member originating from or belonging to a specified source, place, or category.
  • D. hasInternationalFederationMembership
    Indicates that an entity is a member of an international federation or governing body.
  • E. memberStatesAreMemberOf
    Indicates that certain states belong to or hold membership in a particular organization, group, or union.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3de3d88190a42cd708746c8bd0 completed April 18, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69e226f37ecc819082af58b29b4e39d1 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:08 a.m.