Triple

T11774347
Position Surface form Disambiguated ID Type / Status
Subject Cornell University School of Hotel Administration E279978 entity
Predicate hasAlumniInIndustry P89630 FINISHED
Object hotel companies 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: hotel companies | Statement: [Cornell University School of Hotel Administration, hasAlumniInIndustry, hotel companies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlumniInIndustry
Context triple: [Cornell University School of Hotel Administration, hasAlumniInIndustry, hotel companies]
  • A. hasProfessionalAlumni chosen
    Indicates that an institution or organization has alumni who have gone on to work in a specified profession or professional field.
  • B. hasAlumni
    Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
  • C. hasAlumniField
    Indicates a relationship where an entity is associated with a specific field or area of study in which its alumni specialized or graduated.
  • D. hasAlumniOutcome
    Indicates that an entity has a specific outcome or post-completion status associated with its alumni.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a8c2e8b08190a31b1e284fca2aee completed April 10, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69d8a242cd8c819086ed6c5f292dc8cb completed April 10, 2026, 7:09 a.m.
Created at: April 8, 2026, 9:41 p.m.