Triple

T4842237
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Perugia E108204 entity
Predicate hasCathedralCity P9022 FINISHED
Object Perugia E146454 NE FINISHED

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: Perugia | Statement: [Diocese of Perugia, hasCathedralCity, Perugia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perugia
Context triple: [Diocese of Perugia, hasCathedralCity, Perugia]
  • A. Perugia chosen
    Perugia is a historic hilltop city in central Italy, renowned for its Etruscan heritage, medieval architecture, and vibrant cultural and university life.
  • B. Gubbio
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • C. Urbino
    Urbino is a historic hill town in Italy’s Marche region, renowned as a Renaissance cultural center and the birthplace of Raphael.
  • D. Arezzo
    Arezzo is an ancient Tuscan city in central Italy, historically significant as one of the principal centers of the Etruscan civilization and later a prominent medieval and Renaissance town.
  • E. Pesaro
    Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cff1b008190b537feea0e0cc88f completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf88de71b481908ac7b13a3d1538db completed March 22, 2026, 6:14 a.m.
Created at: March 20, 2026, 1:25 p.m.