Triple

T23292997
Position Surface form Disambiguated ID Type / Status
Subject Agostino E590084 entity
Predicate hasVariant P455 FINISHED
Object Augustin 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: Augustin | Statement: [Agostino, hasVariant, Augustin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augustin
Context triple: [Agostino, hasVariant, Augustin]
  • A. Augustin chosen
    Augustin is a given name of Latin origin, notably borne by the French physicist Augustin-Jean Fresnel, a pioneer in the wave theory of light.
  • B. Augustin
    Augustin is a commune in Brașov County, Romania, situated in the historical region of Țara Bârsei (Burzenland).
  • C. Saint-Augustin
    Saint-Augustin is a Paris Métro station in the 8th arrondissement, located near the Église Saint-Augustin and serving as part of the central Paris underground transit network.
  • D. Augustine
    Augustine is a given name of Latin origin historically associated with early Christian theologians and later borne by various notable figures.
  • E. Augustine
    Augustine is the given first name of Nigerian football legend Jay-Jay Okocha, renowned for his exceptional dribbling skills and creativity on the field.
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196ccd9b481909ab5d3504640025e completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:02 p.m.