Triple

T5468334
Position Surface form Disambiguated ID Type / Status
Subject University of Liège E122768 entity
Predicate motto P42 FINISHED
Object Scientia optimum
Scientia optimum is the Latin motto of the University of Liège, expressing the ideal that knowledge is the highest good.
 E523292 NE FINISHED

How this triple was built (4 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 optimum | Statement: [University of Liège, motto, Scientia optimum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scientia optimum
Context triple: [University of Liège, motto, Scientia optimum]
  • A. Scientia et Virtus
    Scientia et Virtus is the Latin motto of Middlebury College, traditionally translated as “Knowledge and Virtue.”
  • B. Scientia et Labore
    Scientia et Labore is the Latin motto of the University of the Witwatersrand, meaning "Through Knowledge and Work."
  • C. Scientia et Sapientia
    Scientia et Sapientia is the Latin motto of the University of Fribourg, expressing its commitment to the pursuit of both knowledge and wisdom.
  • 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. In the Name of Science
    In the Name of Science is the original title of Martin Gardner’s influential 1950 book critically examining pseudoscience and popular scientific misconceptions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Scientia optimum
Triple: [University of Liège, motto, Scientia optimum]
Generated description
Scientia optimum is the Latin motto of the University of Liège, expressing the ideal that knowledge is the highest good.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scientia optimum
Target entity description: Scientia optimum is the Latin motto of the University of Liège, expressing the ideal that knowledge is the highest good.
  • A. Scientia et Virtus
    Scientia et Virtus is the Latin motto of Middlebury College, traditionally translated as “Knowledge and Virtue.”
  • B. Scientia et Labore
    Scientia et Labore is the Latin motto of the University of the Witwatersrand, meaning "Through Knowledge and Work."
  • C. Scientia et Sapientia
    Scientia et Sapientia is the Latin motto of the University of Fribourg, expressing its commitment to the pursuit of both knowledge and wisdom.
  • 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. In the Name of Science
    In the Name of Science is the original title of Martin Gardner’s influential 1950 book critically examining pseudoscience and popular scientific misconceptions.
  • F. None of above. chosen

Provenance (5 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92198ea08190a08357f3756572a2 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48903dc48190b4e5a0c22545d6cc completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4c5821e4819084671d314d3501d1 completed March 22, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69bf4cd7bc9c8190adafb3eb12c669d2 completed March 22, 2026, 1:58 a.m.
Created at: March 20, 2026, 2:09 p.m.