Triple

T11015595
Position Surface form Disambiguated ID Type / Status
Subject Texas A&M vs Arkansas E260355 entity
Predicate alumniInterest P67941 FINISHED
Object high alumni engagement 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: high alumni engagement | Statement: [Texas A&M vs Arkansas, alumniInterest, high alumni engagement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alumniInterest
Context triple: [Texas A&M vs Arkansas, alumniInterest, high alumni engagement]
  • A. hasAlumniInterest chosen
    Indicates that an alumnus or alumna has a stated interest, involvement, or engagement with a particular entity (such as an institution, program, or activity).
  • B. fieldAssociatedWithAlumnus
    Indicates that a particular field of study, profession, or area of expertise is associated with or pursued by a given alumnus.
  • C. hasAlumniInvolvement
    Indicates that an entity maintains an ongoing relationship or engagement with its former members or graduates.
  • D. hasAlumni
    Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
  • E. hasAlumniNetwork
    Indicates that an entity maintains or is associated with an organized network or community of its former members or graduates.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a558a08190bdb5779faa9adf05 completed April 9, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69d72e96be6c8190a46c69f61b2d8cd4 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.