Triple

T10636269
Position Surface form Disambiguated ID Type / Status
Subject Bryant University E250587 entity
Predicate hasStudyAbroadProgram P70065 FINISHED
Object Bryant Zhuhai (China) partnership 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: Bryant Zhuhai (China) partnership | Statement: [Bryant University, hasStudyAbroadProgram, Bryant Zhuhai (China) partnership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStudyAbroadProgram
Context triple: [Bryant University, hasStudyAbroadProgram, Bryant Zhuhai (China) partnership]
  • A. hasSemesterAbroadPrograms
    Indicates that an educational institution offers programs allowing students to study abroad for one or more academic semesters.
  • B. hasStudyAbroad
    Indicates that an entity has participated in or completed a study-abroad experience in another country.
  • C. offersStudyAbroad chosen
    Indicates that an institution or program provides opportunities for participants to study in a foreign country.
  • D. offersInternationalPrograms
    Indicates that an institution or organization provides programs or courses available to participants from other countries or across national borders.
  • E. hasUndergraduatePrograms
    Indicates that an educational institution offers one or more undergraduate-level academic programs.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfad9dbc81909a4f78d93ecfaa20 completed April 8, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69d6dd83b114819098e84dc658e82d7e completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:04 p.m.