Triple
T857261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Turin |
E18519
|
entity |
| Predicate | motto |
P42
|
FINISHED |
| Object |
Virtus et Labor
Virtus et Labor is the Latin motto of the University of Turin, expressing the values of virtue and hard work.
|
E101712
|
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: Virtus et Labor | Statement: [University of Turin, motto, Virtus et Labor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virtus et Labor Context triple: [University of Turin, motto, Virtus et Labor]
-
A.
Virtus Vera Nobilitas
Virtus Vera Nobilitas is the Latin motto of Trinity College, Cambridge, expressing the ideal that true nobility is found in virtue.
-
B.
Fidelitas et Integritas
Fidelitas et Integritas is the Latin school motto of Choate Rosemary Hall, expressing the values of loyalty and integrity.
-
C.
Unity of Good
Unity of Good is a theological work by Mary Baker Eddy that explores the nature of God, reality, and evil from the perspective of Christian Science.
-
D.
Perstare et praestare
Perstare et praestare is the Latin motto of New York University, commonly translated as "To persevere and to excel."
-
E.
Nil Sine Labore
Nil Sine Labore is the Latin motto of the Royal Fleet Auxiliary, expressing the principle that nothing is achieved without 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: Virtus et Labor Triple: [University of Turin, motto, Virtus et Labor]
Generated description
Virtus et Labor is the Latin motto of the University of Turin, expressing the values of virtue and hard work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Virtus et Labor Target entity description: Virtus et Labor is the Latin motto of the University of Turin, expressing the values of virtue and hard work.
-
A.
Virtus Vera Nobilitas
Virtus Vera Nobilitas is the Latin motto of Trinity College, Cambridge, expressing the ideal that true nobility is found in virtue.
-
B.
Fidelitas et Integritas
Fidelitas et Integritas is the Latin school motto of Choate Rosemary Hall, expressing the values of loyalty and integrity.
-
C.
Unity of Good
Unity of Good is a theological work by Mary Baker Eddy that explores the nature of God, reality, and evil from the perspective of Christian Science.
-
D.
Perstare et praestare
Perstare et praestare is the Latin motto of New York University, commonly translated as "To persevere and to excel."
-
E.
Nil Sine Labore
Nil Sine Labore is the Latin motto of the Royal Fleet Auxiliary, expressing the principle that nothing is achieved without 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4d47508190b48d944aa2d881bf |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c1ee4481909d5713122e5ad856 |
completed | March 4, 2026, 3:15 a.m. |
| NEDg | Description generation | batch_69a7a5288338819089638d5c848735dd |
completed | March 4, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a63205308190b55b76116c0d5e7c |
completed | March 4, 2026, 3:25 a.m. |
Created at: March 1, 2026, 7:39 p.m.