Triple

T27838136
Position Surface form Disambiguated ID Type / Status
Subject Federal College of Education Zaria E703297 entity
Predicate targetQualification P180854 FINISHED
Object professional teacher qualification 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: professional teacher qualification | Statement: [Federal College of Education Zaria, targetQualification, professional teacher qualification]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetQualification
Context triple: [Federal College of Education Zaria, targetQualification, professional teacher qualification]
  • A. targetMarket
    Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
  • B. incomeTargetingRequirement
    Indicates that a condition or rule specifies required income levels or ranges that must be met for eligibility or targeting purposes.
  • C. targetRole
    Indicates the specific role or function that an entity is intended or designated to fulfill in a given context.
  • D. targetsGroup
    Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
  • E. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • 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_69ef840b94b08190950a4f77296938b2 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f757898fe48190b124dc7301672623 completed May 3, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69f754c484348190948d2a04ff228fb1 completed May 3, 2026, 1:59 p.m.
PDg Predicate description generation batch_69f75788d40c819083bf2567b3091585 completed May 3, 2026, 2:11 p.m.
Created at: April 27, 2026, 6 p.m.