Triple

T3529395
Position Surface form Disambiguated ID Type / Status
Subject Georgetown College E74620 entity
Predicate controlsAdmissionsLevel P25096 FINISHED
Object undergraduate 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 | Statement: [Georgetown College, controlsAdmissionsLevel, undergraduate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlsAdmissionsLevel
Context triple: [Georgetown College, controlsAdmissionsLevel, undergraduate]
  • A. admissionsLevel chosen
    Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
  • B. admissionType
    Indicates the category or manner in which an entity (such as a person or case) is formally accepted or admitted into a system, institution, or process.
  • C. admissionsSystem
    Indicates a relationship where an entity functions as or is associated with a system that manages or processes admissions decisions or applications.
  • D. hasAdmission
    Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
  • E. admissionsBasedOn
    Indicates that acceptance or entry decisions are determined according to specified criteria, factors, or conditions.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
PD Predicate disambiguation batch_69adae121a048190b03825a001d21f49 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:19 p.m.