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.