Triple

T324878
Position Surface form Disambiguated ID Type / Status
Subject Veritas et Utilitas E6491 entity
Predicate translation P2303 FINISHED
Object Truth and Service E6492 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: Truth and Service | Statement: [Veritas et Utilitas, translation, Truth and Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Truth and Service
Context triple: [Veritas et Utilitas, translation, Truth and Service]
  • A. Truth and Service chosen
    Truth and Service is the English motto of Howard University, encapsulating its commitment to academic integrity and community uplift.
  • B. Truth and Service
    Truth and Service is the guiding motto of North Carolina Central University, emphasizing a commitment to integrity and community engagement.
  • C. Unity and Faith, Peace and Progress
    Unity and Faith, Peace and Progress is the national motto of Nigeria, expressing the country’s core ideals of national cohesion, religious and cultural belief, harmony, and development.
  • D. 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.
  • E. Veritas et Utilitas
    Veritas et Utilitas is the Latin motto of Howard University, expressing its commitment to truth and service.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea959f9c819084602b8a1b5e66dd completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfec426081908a0c7e968846515a completed March 1, 2026, 5:34 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.