Triple

T8039430
Position Surface form Disambiguated ID Type / Status
Subject Pitt E187399 entity
Predicate motto P42 FINISHED
Object Veritas et Virtus E370381 NE FINISHED

How this triple was built (2 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 et Virtus | Statement: [Pitt, motto, Veritas et Virtus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veritas et Virtus
Context triple: [Pitt, motto, Veritas et Virtus]
  • A. Veritas et Virtus chosen
    Veritas et Virtus is the Latin school motto of Westminster City School, expressing the ideals of truth and virtue.
  • B. Veritate et Virtute
    Veritate et Virtute is the Latin school motto of Sydney Boys High School, meaning "By Truth and Courage" (often rendered as "Truth and 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. Sapientia et Virtus
    Sapientia et Virtus is the Latin motto of the University of Hong Kong, expressing the ideal of uniting wisdom with moral excellence.
  • E. Fidelitas et Integritas
    Fidelitas et Integritas is the Latin school motto of Choate Rosemary Hall, expressing the values of loyalty and integrity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f1bb1d88190b3d2c83387c8ce43 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc570090a48190b84ba8325563148e completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:23 p.m.