Triple

T22715009
Position Surface form Disambiguated ID Type / Status
Subject Saint Catald E561704 entity
Predicate alternativeName P39 FINISHED
Object San Cataldo 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: San Cataldo | Statement: [Saint Catald, alternativeName, San Cataldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Cataldo
Context triple: [Saint Catald, alternativeName, San Cataldo]
  • A. San Cataldo chosen
    San Cataldo is a town in central Sicily, Italy, known for its agricultural economy and proximity to the provincial capital of Caltanissetta.
  • B. San Cataldo Church
    San Cataldo Church is a historic Catholic church associated with the hilltop town of Erice in Sicily, Italy, known for its medieval architecture and religious significance.
  • C. Lodi Cathedral
    Lodi Cathedral is a historic Roman Catholic church and prominent architectural landmark located in the city of Lodi in northern Italy.
  • D. Santa Felicita
    Santa Felicita is a church in the Italian town of Affile, known as a local place of Catholic worship and community life.
  • E. Santa Felicita
    Santa Felicita is a historic Roman Catholic church in Florence, Italy, noted for its Renaissance art and architecture.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ca59881909064d49f331fb711 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:18 p.m.