Triple

T4157028
Position Surface form Disambiguated ID Type / Status
Subject International Publishers Association E91438 entity
Predicate hasMemberOrganizationsIn P54146 FINISHED
Object more than 60 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: more than 60 countries | Statement: [International Publishers Association, hasMemberOrganizationsIn, more than 60 countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMemberOrganizationsIn
Context triple: [International Publishers Association, hasMemberOrganizationsIn, more than 60 countries]
  • A. hasMembers
    Indicates that a group, organization, or collection includes certain entities as its members.
  • B. hasAssociateMember
    Indicates that an entity has another entity connected to it in a non-full, typically limited or secondary, membership capacity.
  • C. hasPartnerOrganization
    Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
  • D. numberOfMemberOrganizations
    Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
  • E. hasAuxiliaryOrganizations
    Indicates that an entity is associated with one or more subsidiary or supporting organizations that assist or extend its activities.
  • F. None of above. chosen

Provenance (4 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0321eee88190871c1d4bf44a5007 completed March 9, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69af018dc90c8190a754b1bfbc802e80 completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af0320775c8190b90d80f512060f1c completed March 9, 2026, 5:28 p.m.
Created at: March 9, 2026, 3:44 p.m.