Triple

T14692380
Position Surface form Disambiguated ID Type / Status
Subject Nigerian Law School E345065 entity
Predicate qualificationLeadsTo P115362 FINISHED
Object call to the Nigerian Bar 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: call to the Nigerian Bar | Statement: [Nigerian Law School, qualificationLeadsTo, call to the Nigerian Bar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: qualificationLeadsTo
Context triple: [Nigerian Law School, qualificationLeadsTo, call to the Nigerian Bar]
  • A. qualificationRequirementType
    Indicates the kind or category of qualification that is required in a given context or for a specific role, task, or opportunity.
  • B. hasQualification
    Indicates that an entity possesses a specific qualification, credential, or competency.
  • C. providedQualificationFor
    Indicates that one entity supplied or granted a qualification, credential, or certification that another entity possesses or uses.
  • D. indicatesSkill
    Indicates a relationship where one entity possesses, demonstrates, or is associated with a particular skill represented by another entity.
  • E. skilledIn
    Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69de6579fb7881909becc8f5822b39d4 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716d3aac8190aaa6dc1f099b86e8 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:28 a.m.