Triple

T21710975
Position Surface form Disambiguated ID Type / Status
Subject San Marzano di San Giuseppe E535902 entity
Predicate nativeName P15 FINISHED
Object Shën Marcani 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: Shën Marcani | Statement: [San Marzano di San Giuseppe, nativeName, Shën Marcani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shën Marcani
Context triple: [San Marzano di San Giuseppe, nativeName, Shën Marcani]
  • A. Hieronim
    Hieronim is a masculine given name of Greek origin, commonly used in various European cultures and best known in forms like Jerome.
  • B. Markian chosen
    Markian is a masculine given name of Slavic origin, commonly used in Eastern European countries.
  • C. Johannes Soter
    Johannes Soter was a Renaissance-era printer and publisher known for issuing influential humanist and esoteric works in early 16th-century Europe.
  • D. Marianus
    Marianus is a Latin personal name, historically used in the Roman world and later in various European cultures, derived from the root name Marian.
  • E. Stephanus
    Stephanus is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb5333c8481909d729fb3bc3c9bc5 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.