Triple

T18828364
Position Surface form Disambiguated ID Type / Status
Subject Clementia of Burgundy E460454 entity
Predicate givenName P17 FINISHED
Object Clementia NE NERFINISHED

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: Clementia | Statement: [Clementia of Burgundy, givenName, Clementia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clementia
Context triple: [Clementia of Burgundy, givenName, Clementia]
  • A. Clementia chosen
    Clementia is a feminine given name of Latin origin associated with the virtue of mercy and clemency.
  • B. Salus
    Salus is the Roman goddess of health, well-being, and public welfare, closely associated with the protection and prosperity of the state.
  • C. Caia
    Caia is a town and district in central Mozambique, situated along the Zambezi River in Sofala Province.
  • D. De Clementia
    De Clementia is a philosophical treatise by Seneca the Younger that explores the virtue of clemency as an essential quality of a good ruler.
  • E. Eusebia
    Eusebia was a Roman empress of the 4th century, noted for her political influence at court and her marriage to Emperor Constantius II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99554848190933dd2810f5c810f completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.