Triple

T8789572
Position Surface form Disambiguated ID Type / Status
Subject Coe College E209127 entity
Predicate motto P42 FINISHED
Object Veritas Virtusque
Veritas Virtusque is the Latin motto of Coe College, expressing the institution’s commitment to truth and virtue.
E757757 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: Veritas Virtusque | Statement: [Coe College, motto, Veritas Virtusque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veritas Virtusque
Context triple: [Coe College, motto, Veritas Virtusque]
  • A. Veritas et Virtus
    Veritas et Virtus is the Latin school motto of Westminster City School, expressing the ideals of truth and virtue.
  • B. Virtus Vera Nobilitas
    Virtus Vera Nobilitas is the Latin motto of Trinity College, Cambridge, expressing the ideal that true nobility is found in virtue.
  • C. Virtute et Veritate
    Virtute et Veritate is the Latin school motto of Pocklington School, expressing its guiding values of virtue and truth.
  • D. Virtus et Labor
    Virtus et Labor is the Latin motto of the University of Turin, expressing the values of virtue and hard work.
  • E. Veritas in Caritate
    Veritas in Caritate is the Latin motto of the University of Santo Tomas, expressing its ideal of pursuing truth guided by Christian charity.
  • 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: Veritas Virtusque
Triple: [Coe College, motto, Veritas Virtusque]
Generated description
Veritas Virtusque is the Latin motto of Coe College, expressing the institution’s commitment to truth and virtue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veritas Virtusque
Target entity description: Veritas Virtusque is the Latin motto of Coe College, expressing the institution’s commitment to truth and virtue.
  • A. Veritas et Virtus
    Veritas et Virtus is the Latin school motto of Westminster City School, expressing the ideals of truth and virtue.
  • B. Virtus Vera Nobilitas
    Virtus Vera Nobilitas is the Latin motto of Trinity College, Cambridge, expressing the ideal that true nobility is found in virtue.
  • C. Virtute et Veritate
    Virtute et Veritate is the Latin school motto of Pocklington School, expressing its guiding values of virtue and truth.
  • D. Virtus et Labor
    Virtus et Labor is the Latin motto of the University of Turin, expressing the values of virtue and hard work.
  • E. Veritas in Caritate
    Veritas in Caritate is the Latin motto of the University of Santo Tomas, expressing its ideal of pursuing truth guided by Christian charity.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8b0c108190af53d4bb9b132c5c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5210454c8190aa83d941893a4bc5 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5378c3f48190a4180c20aecb2260 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf5471e9c08190963b7f1d6c2ceffe completed April 3, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:43 p.m.