Triple

T15105758
Position Surface form Disambiguated ID Type / Status
Subject Nicholas of Cusa E360783 entity
Predicate deathPlace P21 FINISHED
Object Todi E219877 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: Todi | Statement: [Nicholas of Cusa, deathPlace, Todi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todi
Context triple: [Nicholas of Cusa, deathPlace, Todi]
  • A. Todi chosen
    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.
  • B. Darfo Boario Terme
    Darfo Boario Terme is an Italian town in Lombardy renowned as a spa and thermal resort destination in the Camonica Valley.
  • C. Perugia
    Perugia is a historic hilltop city in central Italy, renowned for its Etruscan heritage, medieval architecture, and vibrant cultural and university life.
  • D. Chiampo
    Chiampo is a town and comune in the Veneto region of northern Italy, known historically for its marble and leather industries.
  • E. Rovereto
    Rovereto is a historic town in northern Italy’s Trentino region, known for its cultural institutions, World War I heritage, and scenic Alpine surroundings.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00588f35481909674f161bf0f3918 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3647bda881909a83311926096a29 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:05 a.m.