Triple

T9331024
Position Surface form Disambiguated ID Type / Status
Subject Flagler College E224520 entity
Predicate hasTuitionModel P11449 FINISHED
Object primarily undergraduate, tuition-driven institution 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: primarily undergraduate, tuition-driven institution | Statement: [Flagler College, hasTuitionModel, primarily undergraduate, tuition-driven institution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTuitionModel
Context triple: [Flagler College, hasTuitionModel, primarily undergraduate, tuition-driven institution]
  • A. tuitionFeeType
    Indicates the category or structure of tuition fees that applies to an entity (such as full-time, part-time, in-state, out-of-state, or other fee types).
  • B. isTuitionFreeFor
    Indicates that one entity does not require another entity to pay tuition fees for access, enrollment, or participation.
  • C. tuitionFee
    Indicates the amount of money that must be paid for instruction or enrollment in an educational program.
  • D. tuitionPolicy chosen
    Indicates the rules or guidelines governing how tuition is determined, charged, or managed for an educational program or institution.
  • E. hasModeOfStudy
    Indicates the method or format by which an entity (typically a learner) undertakes their studies, such as full-time, part-time, online, or in-person.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ae4fcc81909be75d51e2dc455d completed April 1, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69cc7a643924819097f01144734901cf completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:39 p.m.