Triple

T9121026
Position Surface form Disambiguated ID Type / Status
Subject Royal Corps of Transport E218848 entity
Predicate motto P42 FINISHED
Object Nil Sine Labore E100394 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: Nil Sine Labore | Statement: [Royal Corps of Transport, motto, Nil Sine Labore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nil Sine Labore
Context triple: [Royal Corps of Transport, motto, Nil Sine Labore]
  • A. Nil Sine Labore chosen
    Nil Sine Labore is the Latin motto of the Royal Fleet Auxiliary, expressing the principle that nothing is achieved without hard work.
  • B. Nil Sine Numine
    Nil Sine Numine is a Latin phrase meaning "Nothing without divine will" or "Nothing without the deity," expressing reliance on a higher power.
  • C. Nihil Sine Deo
    Nihil Sine Deo is a Latin motto meaning “Nothing without God,” historically associated with the House of Hohenzollern and later adopted as Romania’s national motto.
  • D. Laborem exercens
    Laborem exercens is a 1981 social encyclical by Pope John Paul II that reflects on the dignity of human work and the rights of workers in modern economic systems.
  • E. Hunca Munca
    Hunca Munca is a mischievous mouse character from Beatrix Potter’s children’s stories, best known for her role in the classic tale involving two troublesome mice.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b32ba88190b2b4406c7b905cca completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030867d248190ad5b5ba3047426bb completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.