Triple

T20989205
Position Surface form Disambiguated ID Type / Status
Subject Clementia of Auxonne E516972 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 Auxonne, givenName, Clementia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clementia
Context triple: [Clementia of Auxonne, givenName, Clementia]
  • A. Clementia chosen
    Clementia is a feminine given name of Latin origin associated with the virtue of mercy and clemency.
  • B. Caelia
    Caelia is a feminine given name of Latin origin, often associated with meanings related to the sky or heaven.
  • C. Possia
    Possia is a brand name for the antiplatelet medication ticagrelor, used to reduce the risk of cardiovascular events such as heart attack and stroke.
  • D. Salus
    Salus is the Roman goddess of health, well-being, and public welfare, closely associated with the protection and prosperity of the state.
  • E. Caia
    Caia is a town and district in central Mozambique, situated along the Zambezi River in Sofala Province.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5f49c8190a5c031eceba9ebf7 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.