Triple

T10024453
Position Surface form Disambiguated ID Type / Status
Subject SBA Mentor-Protégé Program E200689 entity
Predicate typeOfMentor P41095 FINISHED
Object for-profit business concerns 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: for-profit business concerns | Statement: [SBA Mentor-Protégé Program, typeOfMentor, for-profit business concerns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfMentor
Context triple: [SBA Mentor-Protégé Program, typeOfMentor, for-profit business concerns]
  • A. mentorOrPartner
    Indicates a relationship in which one entity either provides guidance and support to another as a mentor or collaborates with them on relatively equal footing as a partner.
  • B. teacherOrInfluence
    Indicates that one entity serves as a teacher to, or has a significant influence on the development, behavior, or thinking of, another entity.
  • C. guru
    Indicates that one entity serves as a spiritual teacher, guide, or mentor to another entity.
  • D. trainer chosen
    Indicates a relationship where one entity teaches, coaches, or prepares another entity to develop skills, knowledge, or performance in a particular domain.
  • E. hasEducationalRole
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7d9c9c81909a0a0917deed0973 completed April 2, 2026, 1:59 a.m.
PD Predicate disambiguation batch_69cd4b7cd4208190b2253583ee2f892c completed April 1, 2026, 4:44 p.m.
Created at: March 30, 2026, 8:53 p.m.