Triple

T31836656
Position Surface form Disambiguated ID Type / Status
Subject North Campus E812691 entity
Predicate servesStudentClass P196392 FINISHED
Object undergraduate first-year students 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: undergraduate first-year students | Statement: [North Campus, servesStudentClass, undergraduate first-year students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesStudentClass
Context triple: [North Campus, servesStudentClass, undergraduate first-year students]
  • A. servesStudentsToGrade chosen
    Indicates that an entity provides educational services or instruction to students up to a specified grade level.
  • B. usesStudentsFor
    Indicates that one entity employs or exploits students as a resource or means to carry out its activities or achieve its objectives.
  • C. isTaughtTo
    Indicates that some knowledge, skill, or subject is being instructed or conveyed by a teacher or source to a learner or recipient.
  • D. hasStudentServices
    Indicates that an entity provides or is associated with student support services for another entity or group.
  • E. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • 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_69f348ea7ffc8190a2ab43d80277cf59 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fef5cf8da881908260ec633830375d completed May 9, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69fef455e40481909861c82007b79bc0 completed May 9, 2026, 8:46 a.m.
Created at: April 30, 2026, 11:48 p.m.