Triple

T5145606
Position Surface form Disambiguated ID Type / Status
Subject University of Perugia E116061 entity
Predicate hasAdditionalCampus P116 FINISHED
Object Narni E212529 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: Narni | Statement: [University of Perugia, hasAdditionalCampus, Narni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narni
Context triple: [University of Perugia, hasAdditionalCampus, Narni]
  • A. Narni chosen
    Narni is a historic hilltop town in the Umbria region of central Italy, known for its medieval architecture and strategic position overlooking the Nera River valley.
  • B. Cortona
    Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
  • C. Valperga
    Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
  • D. Cittaducale
    Cittaducale is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and scenic setting near the Apennine Mountains.
  • E. Todi
    Todi is a historic hilltop town in central Italy known for its medieval architecture, scenic views over the Tiber Valley, and well-preserved city walls and churches.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78ac677881909ce8632f1a8af880 completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed920e650819097d8b74fe8b8966a completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:43 p.m.