Triple

T6039494
Position Surface form Disambiguated ID Type / Status
Subject World Bank Group E134508 entity
Predicate numberOfMemberCountries P1590 FINISHED
Object over 180 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: over 180 | Statement: [World Bank Group, numberOfMemberCountries, over 180]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfMemberCountries
Context triple: [World Bank Group, numberOfMemberCountries, over 180]
  • A. numberOfMemberStates chosen
    Indicates the total count of member states associated with a given entity or organization.
  • B. numberOfRegionalMembers
    Indicates the quantity of members associated with or belonging to a specific region within a given context.
  • C. numberOfMemberNOCs
    Indicates the total count of National Olympic Committees (NOCs) that are members of a given organization or group.
  • D. numberOfPermanentMembers
    Indicates the total count of entities that hold permanent membership within a specified group or organization.
  • E. hasNonRegionalMemberCountries
    Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056ce10cc8190817ade56570adc92 completed March 22, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69c049eb52a08190ac10fd703735f5aa completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:08 p.m.