Triple

T5911836
Position Surface form Disambiguated ID Type / Status
Subject University of Fribourg E131478 entity
Predicate hasMotto P42 FINISHED
Object Scientia et Sapientia E131478 NE 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: Scientia et Sapientia | Statement: [University of Fribourg, hasMotto, Scientia et Sapientia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scientia et Sapientia
Context triple: [University of Fribourg, hasMotto, Scientia et Sapientia]
  • A. Scientia et Sapientia chosen
    Scientia et Sapientia is the Latin motto of the University of Fribourg, expressing its commitment to the pursuit of both knowledge and wisdom.
  • B. Sapientia et Scientia
    Sapientia et Scientia is the Latin motto of the University of Valencia, expressing its commitment to the pursuit of wisdom and knowledge.
  • C. Scientia et Virtus
    Scientia et Virtus is the Latin motto of Middlebury College, traditionally translated as “Knowledge and Virtue.”
  • D. Puritas et Scientia
    Puritas et Scientia is the Latin motto of Vassar College, expressing the institution’s commitment to purity and knowledge in education and scholarship.
  • E. Sapientia et Virtus
    Sapientia et Virtus is the Latin motto of the University of Hong Kong, expressing the ideal of uniting wisdom with moral excellence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037b6f48c8190b60a32e5f64fe254 completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c015b90081909777ac5ed80e927c completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:59 p.m.