Triple

T1245759
Position Surface form Disambiguated ID Type / Status
Subject University of Waterloo E26761 entity
Predicate motto P42 FINISHED
Object Concordia cum veritate
Concordia cum veritate is the Latin motto of the University of Waterloo, generally translated as “In harmony with truth.”
 E142130 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: Concordia cum veritate | Statement: [University of Waterloo, motto, Concordia cum veritate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Concordia cum veritate
Context triple: [University of Waterloo, motto, Concordia cum veritate]
  • A. Quaecumque vera
    Quaecumque vera is the Latin motto of the University of Alberta, traditionally translated as "Whatsoever things are true."
  • B. Fidelitas et Integritas
    Fidelitas et Integritas is the Latin school motto of Choate Rosemary Hall, expressing the values of loyalty and integrity.
  • C. Veritas et Utilitas
    Veritas et Utilitas is the Latin motto of Howard University, expressing its commitment to truth and service.
  • D. Veritas et Utilitas
    Veritas et Utilitas is the Latin motto of Western University, expressing its guiding values of truth and usefulness.
  • E. Concilio et Labore
    Concilio et Labore is the Latin motto of Manchester City Council, traditionally translated as "By wisdom and effort" or "By counsel and hard work."
  • 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: Concordia cum veritate
Triple: [University of Waterloo, motto, Concordia cum veritate]
Generated description
Concordia cum veritate is the Latin motto of the University of Waterloo, generally translated as “In harmony with truth.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Concordia cum veritate
Target entity description: Concordia cum veritate is the Latin motto of the University of Waterloo, generally translated as “In harmony with truth.”
  • A. Quaecumque vera
    Quaecumque vera is the Latin motto of the University of Alberta, traditionally translated as "Whatsoever things are true."
  • B. Fidelitas et Integritas
    Fidelitas et Integritas is the Latin school motto of Choate Rosemary Hall, expressing the values of loyalty and integrity.
  • C. Veritas et Utilitas
    Veritas et Utilitas is the Latin motto of Howard University, expressing its commitment to truth and service.
  • D. Veritas et Utilitas
    Veritas et Utilitas is the Latin motto of Western University, expressing its guiding values of truth and usefulness.
  • E. Concilio et Labore
    Concilio et Labore is the Latin motto of Manchester City Council, traditionally translated as "By wisdom and effort" or "By counsel and hard work."
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf65c41c8190b4c65e015d1264c0 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7da5c48190b013f1578c160d78 completed March 7, 2026, 8:50 p.m.
NEDg Description generation batch_69ac8ff7ae0c81908ca8ace1f4159383 completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac905ce0c48190a8465988161f19ed completed March 7, 2026, 8:53 p.m.
Created at: March 1, 2026, 7:47 p.m.