Triple

T3587973
Position Surface form Disambiguated ID Type / Status
Subject Princeton Tigers men’s lacrosse E75955 entity
Predicate scholarshipStatus P11489 FINISHED
Object offers athletic scholarships within NCAA rules 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: offers athletic scholarships within NCAA rules | Statement: [Princeton Tigers men’s lacrosse, scholarshipStatus, offers athletic scholarships within NCAA rules]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scholarshipStatus
Context triple: [Princeton Tigers men’s lacrosse, scholarshipStatus, offers athletic scholarships within NCAA rules]
  • A. scholarshipType
    Indicates the specific category or kind of scholarship associated with an entity.
  • B. hasScholarships chosen
    Indicates that an entity provides, offers, or is associated with one or more scholarships to another entity.
  • C. scholarshipEquivalency
    Indicates that one scholarship is considered equal in value, coverage, or benefit to another scholarship or financial award.
  • D. associatedScholarship
    Indicates a relationship where a scholarship is linked or connected to a particular entity (such as a person, program, or institution).
  • E. academicStatus
    Indicates the educational or scholarly standing or level an entity holds within an academic context.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc13a11608190a23d76efc1b50e3c completed March 8, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69adb839b4e08190b1c0d611cccb11ae completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:22 p.m.